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Department of Industrial Engineering & Operations Research — UC Berkeley - UC Berkeley IEOR Department - Industrial Engineering & Operations Research
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Welcome to UC Berkeley’s Industrial Engineering and Operations Research Department. At Berkeley IEOR, we expand the frontiers of optimization, stochastics and data science enabling transformative decision analytics and technologies to solve grand challenges in transportation, supply chains, healthca
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Closing the Gender Gap in Engineering
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What is IEOR?
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Op-Ed: Engineering in the Era of Vibe Coding
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◈ Homepage — http://ieor.berkeley.edu/Skip to content UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World            About Research Academics News People Welcome to UC Berkeley’s Industrial Engineering and Operations Research Department. At Berkeley IEOR, we expand the frontiers of optimization, stochastics and data science enabling transformative decision analytics and technologies to solve grand challenges in transportation, supply chains, healthcare, energy, robotics, finance and risk management. Optimization and Algorithms Machine Learning and Data Science Stochastic Modeling and Simulation Robotics and Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems No. 2 Best IEOR Graduate Program US News & World Report No. 4 Best IEOR Undergraduate Program US News & World Report Closing the Gender Gap in Engineering The IEOR department is excited to announce that the majority of IEOR students self-identify as women or non-binary. BS 57% Women MAnalytics 55% Women MEng 50% Women MS 50% Women PhD 48% Women Video Player Media error: Format(s) not supported or source(s) not found Download File: https://ieor.berkeley.edu/wp-content/uploads/2021/10/iise_EDIT_2_captions.mp4?_=1Download File: https://ieor.berkeley.edu/wp-content/uploads/2021/10/iise_EDIT_2_captions.mp4?_=1 00:00 00:00 What is IEOR? In this award-winning video, IEOR students explain what industrial engineering & operations research is, how their skills can improve the world, and discuss exciting careers in IEOR. Inventing and designing to analyze and improve complex systems Improving processes for a better world Utilizing math and statistics to understand and quantify Leveraging computing to manage information Informing business strategy and operations for better decision-making, saving time and resources Featured News Op-Ed: Engineering in the Era of Vibe Coding Ying Cui Receives NSF CAREER Award for Optimization Research Featured Events MAY 18 Class of 2026 Engineering Baccalaureate Degree Commencement MAY 18 Class of 2026 Engineering Master’s Degree Commencement MAY 21 Class of 2026 Engineering Doctoral Degree Commencement More events More News Endless discovery, industry engagement, and exciting career opportunities. Explore our top-ranking degree programs. Partner with IEOR to engage and recruit our outstanding students. Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services [email protected] Graduate Admissions [email protected] Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents ◈ Interior Pages — 65 pages crawledB.A. Analytics - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Academics / B.A. Analytics B.A. Analytics Apply Now UC Application Application Opens: August 1, 2025 Deadline to Apply: Monday, December 1, 2025 What is IEOR? In this award-winning video , IEOR students explain what industrial engineering & operations research is, how their skills can improve the world, and discuss exciting careers in IEOR. IEOR is the process of inventing and designing ways to analyze and improve complex systems. IEOR improves processes to create a better world. IEOR utilizes math and statistics to understand and quantify the world around us. IEOR leverages computing to better manage the massive amounts of information available today. IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. https://ieor.berkeley.edu/wp-content/uploads/2021/10/iise_EDIT_2_captions.mp4 B.S. IEOR B.A. in Analytics Alumni Profiles B.S. IEOR + B.S. Business 5 Year: B.S./M.S. IEOR Program Overview The Bachelor of Arts in Analytics program has four possible concentrations: Analytics in Economic Systems Analytics in Industrial and Business Systems Analytics in Societal Systems Algorithmic and Decision Analytics The Analytics major in the IEOR Department has four general objectives for the Bachelor of Arts degree program. We aim for our BA degree graduates to become skilled in: Quantitative modeling and analysis of a broad array of systems-level decision problems concerned with economic efficiency, productivity, and quality Development and creative use of analytical and computational methods for solving these problems Collection and analysis of data and the use of database and decision-support tools Comprehension and analysis of risk and uncertainty In addition, we expect our graduates will obtain the broader skills, background, and knowledge necessary to be effective life-long professionals who understand the impact of systems in a societal context in a rapidly changing global economy. How to Apply Analytics (formerly Operations Research and Management Science) is a High Demand Major. Newly admitted freshman (2023-) should refer to the L&S High-Demand majors page for information on the declaration process for High Demand Majors. Continuing students and transfers must review the information below prior to submitting the application. Please submit your name on the mailing list and we will notify you when the application is available . To sign up for the mailing list, please follow the directions below. The online application will open at the end of each semester . Until then the application will be closed. Mailing list: Login to your berkeley.edu google account Visit here After you click "Save" on the google group, you are added to the list and will receive an invitation to apply during the next application cycle Contact: If you have any questions please email our Student Affairs Officer, Ginnie Sadil to schedule a meeting or to ask questions. Email: [email protected] 4137 Etcheverry Hall To schedule a meeting: https://ieorugrad.youcanbook.me Application Requirements Unit Cap/Semester Cap Students who entered Berkeley as a freshman prior to Fall 2023 must apply for admission by the end of their fifth semester (does not include summers or withdrawn semesters) or prior to the accumulation of 80 units (does not include units earned in high school, but does include units in-progress at the time of application); whichever comes second. Transfer students must apply for admission by the end of their first semester . Summer session prior to the academic year does not count as the first semester.   Prerequisite Coursework Math 53, Math 54, Econ 1, 2 or 3, and UGBA 10x must be completed prior to acceptance to the major and all must be taken for a letter grade . Students should apply to the major during the semester in which they are enrolled in their final prerequisites. Course Equivalency Equivalency of courses taken at other colleges and universities should be determined early in the application process. Articulation agreements with the California Community Colleges define specific course equivalencies. You can also look to see what classes at your CA Community College satisfy requirements through ASSIST: http://www.assist.org Major Requirements Analytics Directions - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / About / Directions Visit IEOR Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Hubert Dreyfus Lending Library Jobs Directions Google Maps Address: Industrial Engineering & Operations Research 4141 Etcheverry Hall Berkeley, CA 94720-1777 Public Transportation From San Francisco International Airport (SFO): The easiest way to get from the San Francisco Airport to Berkeley is BART . The SFO BART Station is located in the International Terminal Level 3. A Richmond train will take you directly to the Downtown Berkeley Bart Station, which is two blocks from the campus and one block from the Hotel Shattuck Plaza . Or take a Pittsburg/Bay Point train and transfer to a Richmond train at the 19th Street station in Oakland. A one-way ticket from SFO to Berkeley is $9.55 (check the BART fare calculator for the most up to date prices). BART Tickets can be purchased at the station(s); BART typically runs to 12:30am. From Oakland International Airport (OAK): Take the Air BART Shuttle to the Coliseum/Oakland Airport BART station. Air BART Shuttle fares can be paid on-board bus with exact change of $3.00. Take a Richmond train to the Downtown Berkeley station. Or take a Pittsburg/Bay Point train and transfer to a Richmond train at the 19th Street station in Oakland, exit Downtown Berkeley. A one-way ticket on BART from the Coliseum/Oakland Airport station to Downtown Berkeley is $8.60 (check the BART fare calculator for the most up to date prices). BART Tickets can be purchased at the station(s); BART typically runs to 12:30am. Shuttle from SFO and Oakland The Bay Porter Express offers shuttle service to and from both airports. They require at least a 24-hour advance reservation. The price from the San Francisco Airport to Berkeley is $34.00 and the price from the Oakland Airport to Berkeley is $25.00. This shuttle service operates between 3:30 a.m. and midnight for San Francisco and 3:30 a.m. to 11 p.m. for Oakland. The Super Shuttle provides service to and from both airports. They require at least a 24-hour advance reservation. The price from the San Francisco Airport to Berkeley is $38.00 and the price from the Oakland Airport to Berkeley is $29.00. The rates quoted for both the Bay Porter Express and Super Shuttle are for shared rides. A complete of list of shuttle services options is available on both the Oakland Airport and San Francisco Airport web sites. Taxi/Rental Cars Cab fare from the Oakland Airport to downtown Berkeley is approximately $45.00. Cab fare from the San Francisco Airport to downtown Berkeley is approximately $75.00. Most major car rental agencies are located at both airports. Ride-sharing apps such as Uber and Lyft generally work well in the Bay Area and are usually cheaper than taxi companies. Parking The nearest available visitor parking is available at Lower Hearst Garage, Level 2 , though this lot can often be full depending on the day and time. There is some 2-hour street parking available, but this can often be full as well. The most reliable option is to park off-campus in downtown Berkeley and walk 15-20 minutes through campus to get to Etcheverry. Parking on the UC Berkeley Campus on weekdays is restricted and reserved for faculty, staff and students. Details and parking permits are available for purchase at http://pt.berkeley.edu/ . Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Visiting Scholars - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / About / Visiting Scholars About Recruit Students Visiting Scholars Visiting Scholars Academic Visiting Scholar The IEOR Visiting Scholars Program allows researchers from academia to visit the Department of Industrial Engineering & Operations Research at the University of California, Berkeley to develop research projects, collaborate with world-renowned faculty, be part of the world's #1 public university, and be embedded in the Bay Area and Silicon Valley, the world's leading innovation hub. Program Details Scholars can visit for up to one year. Scholars will have access to an office in the department. Scholars must have a research topic that they wish to pursue while at Berkeley.   Sponsorship Requirement Visiting scholars must secure a sponsor who is a tenured or a tenure-track member (professor, associate professor, or assistant professor) of the UC Berkeley IEOR faculty. Information about IEOR faculty can be found at the IEOR Faculty Directory . More Information International Visitors International visitor information (J-1 Exchange Visitors) J Scholar Financial Requirements Required Funding Documentation Cost of Attendance: Example Household Budgets Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top 5-year - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Academics / 5-year 5 Year: BS/MS IEOR Apply Now See below for details Departmental Application Deadline: Monday, October 20, 2025 at 4 PM PST Graduate Division Application Deadline: Monday, December 15, 2025 at 8:59 PM PST What is IEOR? In this award-winning video , IEOR students explain what industrial engineering & operations research is, how their skills can improve the world, and discuss exciting careers in IEOR. IEOR is the process of inventing and designing ways to analyze and improve complex systems. IEOR improves processes to create a better world. IEOR utilizes math and statistics to understand and quantify the world around us. IEOR leverages computing to better manage the massive amounts of information available today. IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. https://ieor.berkeley.edu/wp-content/uploads/2021/10/iise_EDIT_2_captions.mp4 B.S. IEOR B.A. in Analytics B.S. IEOR + B.S. Business 5 Year: BS/MS IEOR Program Overview The Department of Industrial Engineering and Operations Research (IEOR) offers a five-year combined Bachelor’s-Master's program for current IEOR and Operations Research and Analytics undergraduates to broaden their educational experiences at Berkeley. Admission to this program may be more selective than the standard admission to the MS program. The master’s degree portion typically takes two semesters to complete beyond the completion of undergraduate requirements. The five-year combined Bachelor’s-Master's program will allow well-prepared students to start taking graduate-level courses early. Approved courses taken during the last semester of the undergraduate program that are not needed for the bachelor’s degree or honors program at Berkeley or any other institution may be eligible to be counted toward the MS degree. All other requirements for the IEOR MS degree and all other College of Engineering and Graduate Division rules must be satisfied. For questions about the application and program requirements, contact faculty advisor Professor Yano . Admissions The admission process for the five-year combined Bachelor’s-Master's program has three steps and two deadlines. To apply you must be a current Analytics/IEOR undergraduate student at Berkeley. Admission to this program is highly competitive. For information on the combined Bachelor’s-Master's degree requirements, please refer to the Graduate Student Handbook . Deadlines Deadline #1: Monday, October 20, 2025 at 4 PM PST Expand Applicants who plan to finish their Bachelor’s requirements in May 2026, August 2026 or December 2026 must submit the Departmental Application (including Statement of Purpose, Draft Course of Study Plan , current transcript, and two Letters of Recommendation) by this deadline. See Application Requirements below for more information. *Applicants should submit the materials as a single PDF file. Interview Expand The Department Graduate Admissions committee selects a subset of applicants for interviews. Not all students who are interviewed will necessarily be admitted to the program. Deadline #2: Monday, December 15, 2025 at 8:59 PM PST Expand Students admitted by the Department are required to submit a regular application to the Graduate Division (including three letters of recommendation) for the MS degree by the advertised deadline in December for entry in the fall semester of the following academic year (for May or August bachelor’s graduates). Students who are planning to complete their bachelor’s requirements in December should apply to the Five-Year program 14 months prior to graduation. Such applicants will be screened at that time, but will need to go through a special process to arrange for Spring (January) admission to the graduate program. The Graduate Division will make the final offer of admission if all minimum requirements have been met. Admission is contingent on maintaining good progress (including a minimum GPA of 3.0, successful receipt of a bachelor’s degree, and incurring no disciplinary actions). Students selected for the program are required to meet all of the normal requirements for applying for an MS degree during the remainder of their bachelor’s program, with the understanding that as long as they maintain good Message from the Chair - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / About / Message from the Chair About Why IEOR Message from the Chair Diversity, Equity, & Inclusion Accreditation Contact Us Message from the Chair Located in the San Francisco Bay Area, a global hub for innovation and entrepreneurship, the Department of Industrial Engineering and Operations Research at UC Berkeley (Berkeley IEOR) is uniquely positioned to drive the technologies shaping our future economy and to prepare students for impactful and dynamic careers. The unprecedented demand for data-driven, automated decision-making and AI technologies is rapidly rising across industries like e-commerce, healthcare, transportation, and energy. Businesses and governments seek to harness data as a way to respond faster to changes in demand and supply, to better manage cost and risk, and to improve the efficiency of their operations. Our faculty and students are equipped to address these challenges, engineering data-driven solutions for business and industry. In the last five years, enrollment into UC Berkeley IEOR graduate and undergraduate programs has more than doubled. This matches industry demand for professionals adept at applying data-driven innovation to real-world challenges in healthcare, supply chains, energy, finance, and more. We expect this strong growth trend to continue for the foreseeable future. In order to better position our department to meet the demand into our programs, we welcomed seven new faculty members (Professors Cui, Jia, Kerger, Mastrolia, Pirutinsky, Udwani, and Yan) into our ranks and are in the process of hiring two new faculty members this year. As the nation’s preeminent public higher education institution, we are committed to expanding our programs, providing opportunities to students from all backgrounds, and training highly skilled professionals to contribute to a diverse workforce. Thank you for visiting the UC Berkeley IEOR department website, and Go Bears! Xin Guo Professor and UC Berkeley IEOR Department Chair Coleman Fung Chair Professor in Financial Modeling UC Berkeley Engineering   Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Operations: Supply Chain, Logistics & Production - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Supply Chain Systems All Research Optimization and Algorithms Machine Learning and Data Science Stochastic Modeling and Simulation Robotics and Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Research in the supply chain systems explores the effective and efficient production and flow of goods and services in supply chains. Supply chain management is one of the core and influential areas within industrial engineering and operations research, and UC Berkeley IEOR faculty members are some of the world's leading supply chain management experts. Researchers in the department are actively exploring a variety of approaches to integrating and optimizing various operational, tactical, and strategic decisions in large-scale supply chains, and are developing techniques to help managers deal with the uncertainty inherent in the real world. Faculty Philip M. Kaminsky Professor Emeritus Robert Leachman Professor Emeritus Zuo-Jun "Max" Shen Professor Emeritus Rajan Udwani Assistant Professor Candace Yano Distinguished Professor MS Advisor Chiwei Yan Assistant Professor Huiwen Jia Assistant Professor Selected Publications Partner with a Third-Party Delivery Service or Not? — a Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic Publication date: August 17, 2024 Jia, Huiwen and Shen, Siqian and Garcıa, Jorge Alberto Ramırez and Shi, Cong, Partner with a Third-Party Delivery Service or Not? — a Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic (November 18, 2020). Available at SSRN: https://ssrn.com/abstract=3734018 or http://dx.doi.org/10.2139/ssrn.3734018 Posted in Publications , Stochastic Modeling and Simulation , Supply Chain Systems Dynamic pricing and matching in ride-hailing platforms Publication date: August 6, 2023 Yan, Chiwei & Zhu, Helin & Korolko, Nikita & Woodard, Dawn. (2019). Dynamic pricing and matching in ride‐hailing platforms. Naval Research Logistics (NRL). 67. 10.1002/nav.21872. Posted in Publications , Supply Chain Systems A Dynamic Model for Airline Fleeting and Scheduling Publication date: August 6, 2023 Yan, Chiwei & Ghate, Archis. (2022). A Dynamic Model for Airline Fleeting and Scheduling. SSRN Electronic Journal. 10.2139/ssrn.4197493. Posted in Chiwei Yan , Publications , Research , Supply Chain Systems Dynamic Pricing with External Information and Inventory Constraint Publication date: June 29, 2023 Li, Xiaocheng & Zheng, Zeyu. (2019). Dynamic Pricing with External Information and Inventory Constraint. SSRN Electronic Journal. 10.2139/ssrn.3458662. Posted in Publications , Supply Chain Systems Selecting support pillars in underground mines with ore veins Publication date: September 30, 2022 Levente Sipeki, Alexandra M. Newman & Candace A. Yano (2020) Selecting support pillars in underground mines with ore veins, IISE Transactions, 52:10, 1173-1188, DOI: 10.1080/24725854.2019.1699978 Posted in Publications , Supply Chain Systems Reliable Hub Location Model for Air Transportation Networks Under Random Disruptions Publication date: April 1, 2020 H Shen, Y Liang, ZJM Shen (2019). Reliable Hub Location Model for Air Transportation Networks under Random Disruptions. To appear in Manufacturing & Service Operations Management. https://doi.org/10.1287/msom.2019.0845 . Posted in Supply Chain Systems Centralized and Decentralized Warehouse Logistics Collaboration Publication date: August 27, 2019 DING AND P. KAMINSKY. 2019. Centralized and Decentralized Warehouse Logistics Collaboration .Manufacturing & Service Operations Management. Extended version available here Posted in Supply Chain Systems Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks Publication date: June 17, 2019 Long He, Ying Rong, Zuo‐Jun Max Shen, “ Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks “, 2019 Production and Operations Management Society. Posted in Supply Chain Systems A two-step gradient estimation approach for setting supply chain operating parameters Publication date: April 16, 2018 KAMINSKY AND S. LIU. 2018. A Two-Step Gradient Estimation Approach to for Setting Supply Chai Master of Analytics - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Academics / Master of Analytics Master of Analytics Ranked No. 3 in the Nation Applications for Fall 2026 admissions to the Master of Analytics program are now closed. Fall 2026 Final Deadline To Apply: Wednesday, January 7, 2026, 8:59 p.m. PST Apply Master of Analytics Program Overview How to Apply Student Profiles FAQ Master of Science Master of Engineering PhD Program Overview From Data to Solutions™ One-year master's program in analytics The University of California, Berkeley Master of Analytics degree trains students to build cutting-edge data and quantitative skills preparing them for exciting roles in the industry. There is a very high demand for analytics professionals who have the ability to analyze large amounts of data and offer solutions critical for success. These skills are needed in every sector of the economy, including commerce, healthcare, information technology, entertainment, finance, energy, security, transportation, consulting, and many more. Go to the Master of Analytics Website: Master of Analytics Master of Analytics Info Session Access Upcoming Admissions Events   IEOR Graduate Student Services Contact us if you have any questions or concerns: IEOR Graduate Admissions [email protected] Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Master of Engineering - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Academics / Master of Engineering Master of Engineering Ranked No. 3 in the Nation Applications for Fall 2026 admissions to the IEOR MEng program are now closed. Fall 2026 Deadline To Apply: Wednesday, January 7, 2026, 8:59 p.m. PST Apply Master of Analytics Master of Science Master of Engineering Program Overview How to Apply Concentrations Resources FAQ PhD Program Overview The Master of Engineering program in Industrial Engineering & Operations Research is a one year, full-time program that combines business-oriented coursework with applications-focused industrial engineering and operations research courses, emphasizing Optimization Analytics, Risk Modeling, Simulation, and Data Analysis. Machine Learning and Data Science are exciting new topics that combine results from stochastics and optimization to provide a growing range of products and services. This program is intended to prepare students for professional practice, explicitly developing skills in managing complex projects and directing financial and operational matters. How to Apply Master of Engineering Info Session Become an Engineering Leader Expand your effectiveness as an engineer by gaining valuable leadership skills. All students in the program take core leadership courses in areas such as marketing, finance, law, analysis, and project management to develop a broader skill set that equips them for the next step in their careers. Develop your technical expertise Along with leadership development, students are required to take IEOR 240 (Optimization Analytics) and IEOR 241 (Risk Modeling, Simulation, and Data Analysis), and two additional IEOR electives in areas such as data science, financial engineering, supply chain management, operations research, and decision analytics. Hands-on capstone experience Set in the heart of the Bay Area, the worldwide epicenter for engineering innovation, Master of Engineering students at UC Berkeley form interdisciplinary teams, partner with industry, and benefit from the expertise of industry leaders and faculty to apply their learning by creating real projects. Timeline Full-Time Our accelerated program provides an intensive, industry-oriented experience that can be completed in just one year . Employment Data 2024 Student Profile Class of 2024 Career Destinations Capstone Project Profiles [Blue Goji] Improving Mobility for Elderly Users of Infinity Treadmill [Arris Composites] Optimizing the Design and Manufacturing of Aligned Carbon Fiber [General Motors] Modeling the Energy Impact of Autonomous Vehicles [XPing/Ripple] Historical Analysis for Live Anomaly Detection on Ripple's Blockchain [Zendar] Developing an Affordable Alternative for Autonomous Vehicle Localization Using Wildfire Simulations as Predictors For Economical Risk Management [Ocuelar] Smart eye-drop bottle to monitor medication habits of glaucoma patients Bipedal Robotic Locomotion Object Scanning and Replication Using 3D Camera View more project profiles at the Fung Institute Day in the Life What's it like to be a master of engineering student? Get an inside perspective of the life of a master of engineering student at the University of California, Berkeley with this "Day in the Life" video with former MEng student Kaan Ardic. Contact Us Contact us if you have any questions or concerns: IEOR Graduate Admissions [email protected] Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Operations: Supply Chain, Logistics & Production - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Supply Chain Systems All Research Optimization and Algorithms Machine Learning and Data Science Stochastic Modeling and Simulation Robotics and Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Research in the supply chain systems explores the effective and efficient production and flow of goods and services in supply chains. Supply chain management is one of the core and influential areas within industrial engineering and operations research, and UC Berkeley IEOR faculty members are some of the world's leading supply chain management experts. Researchers in the department are actively exploring a variety of approaches to integrating and optimizing various operational, tactical, and strategic decisions in large-scale supply chains, and are developing techniques to help managers deal with the uncertainty inherent in the real world. Faculty Philip M. Kaminsky Professor Emeritus Robert Leachman Professor Emeritus Zuo-Jun "Max" Shen Professor Emeritus Rajan Udwani Assistant Professor Candace Yano Distinguished Professor MS Advisor Chiwei Yan Assistant Professor Huiwen Jia Assistant Professor Selected Publications Partner with a Third-Party Delivery Service or Not? — a Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic Publication date: August 17, 2024 Jia, Huiwen and Shen, Siqian and Garcıa, Jorge Alberto Ramırez and Shi, Cong, Partner with a Third-Party Delivery Service or Not? — a Prediction-and-Decision Tool for Restaurants Facing Takeout Demand Surges During a Pandemic (November 18, 2020). Available at SSRN: https://ssrn.com/abstract=3734018 or http://dx.doi.org/10.2139/ssrn.3734018 Posted in Publications , Stochastic Modeling and Simulation , Supply Chain Systems Dynamic pricing and matching in ride-hailing platforms Publication date: August 6, 2023 Yan, Chiwei & Zhu, Helin & Korolko, Nikita & Woodard, Dawn. (2019). Dynamic pricing and matching in ride‐hailing platforms. Naval Research Logistics (NRL). 67. 10.1002/nav.21872. Posted in Publications , Supply Chain Systems A Dynamic Model for Airline Fleeting and Scheduling Publication date: August 6, 2023 Yan, Chiwei & Ghate, Archis. (2022). A Dynamic Model for Airline Fleeting and Scheduling. SSRN Electronic Journal. 10.2139/ssrn.4197493. Posted in Chiwei Yan , Publications , Research , Supply Chain Systems Dynamic Pricing with External Information and Inventory Constraint Publication date: June 29, 2023 Li, Xiaocheng & Zheng, Zeyu. (2019). Dynamic Pricing with External Information and Inventory Constraint. SSRN Electronic Journal. 10.2139/ssrn.3458662. Posted in Publications , Supply Chain Systems Selecting support pillars in underground mines with ore veins Publication date: September 30, 2022 Levente Sipeki, Alexandra M. Newman & Candace A. Yano (2020) Selecting support pillars in underground mines with ore veins, IISE Transactions, 52:10, 1173-1188, DOI: 10.1080/24725854.2019.1699978 Posted in Publications , Supply Chain Systems Reliable Hub Location Model for Air Transportation Networks Under Random Disruptions Publication date: April 1, 2020 H Shen, Y Liang, ZJM Shen (2019). Reliable Hub Location Model for Air Transportation Networks under Random Disruptions. To appear in Manufacturing & Service Operations Management. https://doi.org/10.1287/msom.2019.0845 . Posted in Supply Chain Systems Centralized and Decentralized Warehouse Logistics Collaboration Publication date: August 27, 2019 DING AND P. KAMINSKY. 2019. Centralized and Decentralized Warehouse Logistics Collaboration .Manufacturing & Service Operations Management. Extended version available here Posted in Supply Chain Systems Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks Publication date: June 17, 2019 Long He, Ying Rong, Zuo‐Jun Max Shen, “ Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks “, 2019 Production and Operations Management Society. Posted in Supply Chain Systems A two-step gradient estimation approach for setting supply chain operating parameters Publication date: April 16, 2018 KAMINSKY AND S. LIU. 2018. A Two-Step Gradient Estimation Approach to for Setting Supply Chai Recruit our Students - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / About / Recruit our Students Recruit Our Students —Join the Berkeley IEOR Corporate Partnership Program Maximize recruitment efforts, accelerate research and discovery, and elevate your brand. Berkeley IEOR converges analytics, engineering, mathematics, computing, and business to create powerful new tools and approaches for decision-making in today's world. We emphasize a culture of innovation and optimization in everything we do, and our students go on to have successful, high-impact careers where they solve grand challenges in transportation, supply chains, healthcare, energy, robotics, finance, and risk management. Hire the best and brightest, right after college Students studying industrial engineering & operations research are systems-level thinkers. They excel at improving processes and applying mathematical approaches to solving business problems. Our students are experienced with data science and analytics, machine learning and artificial intelligence, operations research, supply chain management, manufacturing, software development and many other related fields. Our graduates are academically talented, well-rounded, and work savvy, with most completing at least one internship during their academic careers. Our alumni become successful entrepreneurs, innovators, researchers, and analysts who can be found in nearly every industry including banking, consulting, finance, startups, and many others. We invite you to collaborate with the No.1 public university in the nation. Our synergy will accelerate your company's goals for growth and well-being while fostering a climate of continuous innovation and collaboration. Contact us Your company Please enter a subject. Your email Please enter a valid email. Your message Please enter a message. Send Message failed. Please try again. Thanks for your message! We’ll be in touch soon. Engage Talent Enhance Your Brand Develop Your Workforce Accelerate Research and discovery in a Specific Domain Gain Preferred Access to the Berkeley IEOR Community Berkeley IEOR's Corporate Partnership Program encourages valuable interactions among executives, students, faculty, staff, and alumni. These exchanges—from mentoring to capstone projects—prepare our students to become tomorrow’s leaders. Our educational partners benefit from access to a world-class pool of talent: our students, alumni, and faculty. Sponsors Corporate Partnership Levels Bronze-Level Partner at $2,500 Expand Job listings distributed through newsletters, emails, and IEOR website throughout the year. Host student info session on campus or virtually. Receive planning support from IEOR staff. Event and company promotion on official social media channels. Silver-Level Partner at $5,000 Expand Silver-level partners receive enhanced bronze benefits, plus: Featured article on IEOR homepage and alumni newsletter spotlight. Event photography coverage. Cross-promotion across campus bulletin boards, digital displays, email lists. Meet & greet with student leaders and career services. Student leaders research and promote events for high turnout and thoughtful participation. First-time Silver-Level donors enjoy exclusive meetings with the department chair and faculty. Opportunity to build a custom-internship program for students. Gold-Level Partner at $10,000 Expand Inclusive of all silver-level benefits, and: Access to student email lists. Priority use of on-campus space for interviews and tabling. Extend info sessions into multi-day events, collaboratively planned with staff and faculty. Receive post-event survey reports and student testimonials. Contribute to Career Foundations Course curriculum. Meetings with faculty to explore research and collaboration. Sponsor student and alum activities, including merchandise, capstone projects, site visits, mixers, and receptions. Become a Premier Partner Expand Meetings with IEOR Department Chair and College of Engineering Dean. Invitations to special leadership events throughout the year. Establish student paper competitions, named scholarships, seminar speaker series, conference travel grants, and more. Establish a new fund that speaks to the goals and vision of your company and workforce. Develop custom networking activities and programs throughout the year for alumni and students. The Prem Etcheverry Hall Safety & IT Resources - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / About / Etcheverry Hall Safety &... Visit IEOR Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Hubert Dreyfus Lending Library Jobs Etcheverry Hall Safety & IT Resources Etcheverry Hall Safety Etcheverry Hall Building Emergency Plan (Calnet authentication required) Berkeley Workplace Safety Program Etcheverry Hall Building Manager Jairus Chappel (510) 316-9741 [email protected] IEOR Department's Safety Committee Jill Fujisaki, Co-Chair Ginnie Sadil, Co-Chair Goldie Negelev University of California Police Department (UCPD) ALL EMERGENCIES An emergency is a case of imminent threat to a life or property. DIAL 9-1-1 Dial from any phone. Dial UCPD Emergency direct from a cell phone, on or near campus. 510-642-3333 Direct to UCPD dispatch from cell phone. Blue Light Phone Press Red Button Dispatch will see phone's location. MAJOR CAMPUS EMERGENCY These information sources will be activated. Emergency Information Line 1-800-705-9998 Emergency Information Website emergency.berkeley.edu Emergency information Campus Radio Station KALX FM 90.7 kalx.berkeley.edu WarnMe Campus Emergency System warnme.berkeley.edu All persons with a CalNet account will receive alerts in an emergency. Add or change ways you can be contacted at the WarnMe website. Siren and Announcement, Alerting and Warning System (AWS) Note the siren is tested on the first Wednesday of every month. NON-EMERGENCY CONTACT Available 24 hours 1 Sproul Hall, Berkeley, CA 94720-1199 510-642-6760 [email protected] CalTIP Anonymous Text Message Service 510-644-8477 (4-TIPS)Send a text to UCPD to report suspicious activity and remain anonymous. [email protected]   IT Resources Printing IEOR has a printer located in 4106. Faculty, staff and GSIs have access to this printer. Contact IEOR staff to gain access. Building Access To submit a request for room and after hours building access please fill out this form . Software UC Berkeley offers a range of software for faculty, staff and students. Please visit https://software.berkeley.edu to see what is available. Contact More questions? Please contact us at [email protected] . Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Ying Cui Receives NSF CAREER Award for Optimization Research - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Ying Cui Receives NSF CAREER Award for Optimization Research Ying Cui, Asistant Professor, UC Berkeley IEOR Ying Cui, an assistant professor in the Department of Industrial Engineering and Operations Research at University of California, Berkeley, has received the Faculty Early Career Development (CAREER) Award from the National Science Foundation. The CAREER Award is among the NSF’s most prestigious honors for early-career faculty. It will provide approximately $631,492 over five years to support Cui’s project, “Foundations and Algorithms for Nonconvex and Nonsmooth Optimization: From Local Solvers to Global Certification.” Her research focuses on advancing mathematical tools that underpin modern artificial intelligence and decision-making systems. Advancing the Computational Foundations of Modern Decision-Making Systems Optimization serves as a central mathematical framework for artificial intelligence, enabling systems to learn from data and make decisions. However, real-world applications often present challenges that classical optimization methods are not designed to address. These include nonconvexity, in which complex solution landscapes can trap algorithms in suboptimal points; nonsmoothness, where structural irregularities complicate analysis and reduce algorithmic stability; and stochasticity, or noise in data, which can disrupt the convergence of learning processes. Cui’s research aims to address these challenges by developing rigorous theoretical foundations alongside scalable algorithms tailored to such environments. Her work will focus on designing novel methods capable of navigating ill-conditioned problems while achieving performance comparable to that of more structured and well-behaved systems. Algorithmic Innovation and Practical Impact The project introduces several advances in optimization and machine learning. Cui will develop scalable first-order and second-order methods that leverage underlying problem structure and improve computational efficiency. In addition, her work explores techniques for certificating global optimality through a homotopic sketching framework, providing reliable guarantees that models reach high-quality solutions. The project also includes the development of open-source computational tools intended to make these methods accessible to a broader research community. Integrating Research and Education In parallel with its research contributions, the CAREER award supports an integrated educational initiative. Cui plans to translate her findings into instructional materials for a wide range of learners, including K-12 students, community college educators and graduate-level researchers. The project, which is expected to run through March 2031, aims to expand access to advanced optimization concepts while preparing the next generation of scholars to address emerging challenges in artificial intelligence and engineering. Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Machine Learning and Data Science - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Machine Learning and Data Science Research All Research Optimization and Algorithms Machine Learning and Data Science Stochastic Modeling and Simulation Robotics and Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Data plays a critical role in all areas of IEOR, from theoretical developments in optimization and stochastics to applications in automation, logistics, health care, energy, finance, and other areas. Much of the recent interest in data science and machine learning has been spurred by the growing ability to apply vast computational power to large scale datasets in nearly every application domain. Faculty and students in the UC Berkeley IEOR department are engaged in cutting edge and interdisciplinary research in ML/DS, including topics like developing scalable and memory-efficient learning algorithms, integrating prediction and optimization models, sparse learning models, addressing fairness concerns, reinforcement learning and control, clustering and learning with network data, as well as applications of ML/DS to various domains. Faculty Anil Aswani Associate Professor Head Undergraduate Advisor Alper Atamturk Professor MAnalytics Program Director Ying Cui Assistant Professor Ken Goldberg Distinguished Professor Paul Grigas Associate Professor Dorit Hochbaum Distinguished Professor ORMS Advisor Javad Lavaei Associate Professor Zeyu Zheng Assistant Professor Laurent El Ghaoui Joint Faculty, EECS Michael Jordan Joint Faculty, EECS Selected Publications Matching-Based Off-Policy Evaluation for ReinforcementLearning Applied to Mechanical Ventilation Publication date: December 9, 2025 Lee, J. S., Mahendra, M., & Aswani, A. (2025). Matching-based off-policy evaluation for reinforcement learning applied to mechanical ventilation . CHASE ’25: Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, 211–221. https://doi.org/10.1145/3721201.3721370 Posted in Machine Learning and Data Science , Optimization and Algorithms In Situ Answer Sentence Selection at Web-scale Publication date: October 21, 2024 Zhang, Zeyu & Vu, Thuy & Moschitti, Alessandro. (2024). In Situ Answer Sentence Selection at Web-scale. 4298-4302. 10.1145/3627673.3679946. Posted in Machine Learning and Data Science , Publications A survey on geocoding: algorithms and datasets for toponym resolution Publication date: June 10, 2024 Zhang, Zeyu & Bethard, Steven. (2024). A survey on geocoding: algorithms and datasets for toponym resolution. Language Resources and Evaluation. 1-22. 10.1007/s10579-024-09730-2. Posted in Healthcare Systems , Machine Learning and Data Science , Publications , Stochastic Modeling and Simulation Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries Publication date: June 1, 2024 Zhang, Zeyu & Laparra, Egoitz & Bethard, Steven. (2024). Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries. 35-44. 10.18653/v1/2024.naacl-short.3. Posted in Machine Learning and Data Science , Publications , Stochastic Modeling and Simulation Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch Publication date: January 1, 2024 Wu, Xidong & Gao, Shangqian & Zhang, Zeyu & Li, Zhenzhen & Bao, Runxue & Zhang, Yanfu & Wang, Xiaoqian & Huang, Heng. (2024). Auto- Train-Once: Controller Network Guided Automatic Network Pruning from Scratch. 16163-16173. 10.1109/CVPR52733.2024.01530. Posted in Machine Learning and Data Science , Optimization and Algorithms , Publications Reinforcement Learning from Answer Reranking Feedback for Retrieval-Augmented Answer Generation Publication date: January 1, 2024 Nguyen, Minh & Nguyen, Toan & KC, Kishan & Zhang, Zeyu & Vu, Thuy. (2024). Reinforcement Learning from Answer Reranking Feedback for Retrieval-Augmented Answer Generation. 4044-4048. 10.21437/Interspeech.2024-2147. Posted in Machine Learning and Data Science , Publications Regret Analysis of Learning-Based MPC With Partially-Unknown Cost Function Publication date: October 31, 2023 Dogan, Ilgin & Shen, Max & Aswani, Anil. (2024). Regret Analysis of Learning-B Staff - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Staff People Faculty Staff Student Employees Student Organizations Graduate Students Advisory Board Staff Ginnie Sadil IEOR Undergraduate Student Services (BS IEOR / BA Analytics) 510 / 642-5485 [email protected] Ginnie manages the undergraduate program for the IEOR department, including the Bachelor of Science in IEOR and the Bachelor of Arts in Analytics. Heather Iwata IEOR Graduate Student Services Manager (MS/PhD/MEng/MAnalytics) IEOR Graduate Admissions: [email protected] IEOR Graduate Student Services: [email protected] Heather is responsible for graduate student services. Erica Diffenderfer IEOR Graduate Student Services (MS/PhD/MEng/MAnalytics) IEOR Graduate Admissions: [email protected] IEOR Graduate Student Services: [email protected] Erica is responsible for graduate student services. Jenny Huang IEOR Student Services Advisor & Events Coordinator IEOR Graduate Student Services: [email protected] IEOR Events & GSI Hiring: [email protected] Jenny assists with graduate student advising, GSI hiring, and event coordination. Diana Chavez Director of Career Services, Master of Analytics Master of Analytics Career Services: [email protected] Dr. Diana Chavez leads professional engagement and development initiatives for the Master of Analytics program. They design and implement comprehensive resources, programming, and group or individual sessions to help students prepare to launch their careers. In addition, Dr. Chavez helps build employer and industry relationships to connect students with internships and professional opportunities. Josh Smothers Assistant Director of Career Services & Employer Engagement, Master of Analytics Master of Analytics Career Services: [email protected] As the Assistant Director of Career Services & Employer Engagement, Josh facilitates connections between students and the job market by overseeing a team focused on career counseling, resume development, and interview preparation. Josh collaborates with employers to create partnerships that enhance internship and job opportunities as well as to organize events such as career fairs to encourage networking. Outside of work, Josh spends time with his family, drawing, playing guitar, and rowing. Jasmine Flores Marketing and Communications Specialist [email protected] Jasmine leads marketing, communications, and recruitment for the Berkeley Master of Analytics program. Almadora Henry Finance Analyst [email protected] Almadora manages purchasing, reimbursements, student award entries, finance-related transactions, billing, and payment services. Adriana Conteras-Sandoval Information Systems Analyst [email protected] Adriana manages departmental IT systems including networks, computers, and security. In addition to this she provides technical support to faculty and staff, maintains AV systems for classrooms and events, and ensures a reliable tech environment. Goldie Negelev Director of Communications & Development [email protected] Goldie oversees and implements internal and external communication strategies while driving fundraising and resource development efforts to support the Department's mission and growth. Jill Fujisaki Department Manager [email protected] The Department Manager reports to the Chair and is the highest-ranking non-academic administrator in the Department and is responsible for performing the highest level of administrative and policy analysis on a broad range of issues for the Chair. Independently responsible for its overall administration, the Manager provides leadership and management direction within Industrial Engineering & Operations Research and is accountable for the following major areas: Managerial Leadership, Strategic Planning, Budget & Finance, Academic Administration (including Student Services), Technical & Instructional Support (including IT), Human Resources & Administrative Management, Space & Facilities, and Special Programs. Tech and Facilities Support For any desktop and general IT queries, please email [email protected]. For any DECF website related requests or services, please email [email protected]. For a Jobs Archive - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Jobs Welcome to our jobs page. From this page, you can read postings for faculty and staff positions here at Berkeley IEOR. We also post open positions that interest current students and alumni. Associate Professor/Professor - Open Field - Industrial Engineering & Operations Research Deadline: December 15, 2025 Link to Job Posting   Job Postings - General The jobs listed below are NOT positions offered by the University of California, Berkeley or Berkeley IEOR. All job postings have been submitted by industry professionals who are not affiliated with UC Berkeley. We assume no responsibility as to genuineness, accuracy, correctness, compensation, or requirements. Our job posting system is an automated online system.   Note: These job postings are powered by Handshake, part of our student career services. IEOR Jobs Feed Infrastructure Platform Intern - Summer 2026 at Mizuho Americas May 11, 2026 Employer: Mizuho Americas Expires: 05/13/2026 Mizuho is a bank on the rise climbing the league tables, disrupting the status quo and attracting top talent. Positions are available across investment and corporate banking, capital markets, advisory, research, sales & trading, derivatives and corporate functions. We are looking for candidates who want to contribute to our entrepreneurial […] Paid Summer Ministry Position - Community Host Manager at YouthWorks May 11, 2026 Employer: YouthWorks Expires: 05/16/2026 Want to do meaningful work this summer that prepares you for your future? Apply to be a YouthWorks Community Host Manager!For over 30 years, YouthWorks has hired Christian young adults to lead Christ-centered mission trips for teenagers. Not only does this work make a tangible difference in communities across the U.S. […] STUDENT TRAINEE (AI/ML RESEARCH PROGRAM SUPPORT) at ASSISTANT SECRETARY OF THE NAVY FOR MANPOWER AND RESERVE AFFAIRS May 8, 2026 Employer: ASSISTANT SECRETARY OF THE NAVY FOR MANPOWER AND RESERVE AFFAIRS Expires: 05/16/2026 This is a DON Pathways Internship Program position. You will serve as a Student Trainee (AI/ML Research Program Support) in the Office of the ASN EI-E WASHINGTON DC (Office of the Assistant Secretary of the Navy for Energy, Installations, end Environment (OASN […] Senior General Manager at Piedmont Airlines May 7, 2026 Employer: Piedmont Airlines Expires: 05/22/2026 We can’t wait to share our passion for aviation with you! Join a team that works hard, cares for each other and offers plenty of opportunities to grow. At Piedmont Airlines, our strength is the way we deliver industry-leading service to our customers and airline partners. To continue our standard of […] Welding & Experiment Assembly Internship | Fall 2026 at Idaho National Laboratory May 7, 2026 Employer: Idaho National Laboratory Expires: 05/16/2026 Project Description:Reporting to the Senior Manager of the Fuels Development group, Idaho National Laboratory (INL) is seeking a motivated undergraduate student to join our team at the Materials and Fuels Complex (MFC). In this role, the intern will join a team that builds and qualifies experiments for nuclear test […] Business Systems Analyst 1 at NYS Department of Taxation and Finance May 5, 2026 Employer: NYS Department of Taxation and Finance Expires: 05/17/2026 Title: Business Systems Analyst Trainee 1Location: Albany, NYSchedule: Monday-FridayWork hours: 8:30am-4:30pmSalary: $53,764–$68,630Apply by: 05/16/2026 Title: Business Systems Analyst Trainee 2Location: Albany, NYSchedule: Monday-FridayWork hours: 8:30am-4:30pmSalary: $59,994–$76,359Apply by: 05/16/2026 Title: Business Systems Analyst 1Location: Albany, NYSchedule: Monday-FridayWork hours: 8:30am-4:30pmSalary: $66,951–$85,138Apply by: 05/16/2026 Minimum qualifications For the Trainee 1: Four years of business […] Middle School Math Teacher at St. Josaphat Parish School May 1, 2026 Employer: St. Josaphat Parish School Expires: 05/24/2026 Middle School Science and Math TeacherCompensation - $55,000 - $60,000Are you a passionate educator who loves working with young learners in a faith-filled environment? St. Josaphat Parish School is seeking a dedicated Middle School Math & Science Teacher to join our professional, collaborative, and mission-driven staff.About UsLocated on Mil Where Alumni Work - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / About / Where Alumni Work About What is IEOR? Fields of Research Where Alumni Work Where Alumni Work Sample of Alumni Employers Google Apple Inc. Self-Employed Amazon Pacific Gas & Electric Company Accenture Facebook IBM Corporation Cisco Systems Inc. Kaiser Permanente Wells Fargo & Company Intel Corporation Uber Lyft PwC Applied Materials Inc. Bank of America Deloitte Oracle Corporation AT&T Inc. Academia: Columbia University, London Business School, Massachusetts Institute of Technology, McGill University, Purdue University, Stanford University, University of Oxford, Tsinghua University, University of California Los Angeles, University of Pennsylvania, University of Southern California Industry: Commerce (Amazon, Gap, Walmart, Safeway, eBay) Healthcare (Kaiser, Genentech, Illumina) Information Technology (Google, Facebook, IBM, Apple) Entertainment (Walt Disney, Netflix, Sony Pictures) Finance (Goldman Sachs, Morgan Stanley, Bank of America, BlackRock, Wells Fargo, FICO, Visa) Energy (PG&E, Edison, SunPower, DOE) National Security (Mitre, Booz Allen Hamilton, DOD) Transportation (Uber, Lyft, FedEx, UPS, Waymo, United) Telecommunication (AT&T, Verizon) Manufacturing (Tesla, 3M, GE, Airbus, Boeing, Bosch) Consulting (McKinsey, Accenture, Boston Consulting) Sample of Alumni Job Titles Business Consultant Data Analyst Data Engineer Data Scientist Finance Associate Founder / CEO Industrial Engineer Operations Research Analyst Professor Quantitative Analyst Research Analyst Technology Risk Consultant Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Op-Ed: Engineering in the Era of Vibe Coding - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Op-Ed: Engineering in the Era of Vibe Coding Part of a new op-ed series featuring IEOR student voices, this piece is a collaboration between Alberto Gennaro (5th Year PhD), Grace He (3rd Year PhD), Ricky Huang (3rd Year PhD), and Jessica Zhao (1st Year PhD). “Vibe coding,” the process of relying on generative AI tools for code-writing, has become the buzz phrase related to many engineering disciplines since it was coined by AI researcher Andrej Karpathy in early 2025 , occupying the thoughts of everyone from software engineers to journalists at the Wall Street Journal and even the U.S. government . This is not without reason – with the sophistication of code-targeted large language models (LLMs) such as Anthropic’s Claude and OpenAI’s Codex, it has never been easier to translate written English into working code for various applications and across domains, seemingly with or without programming experience. Specific to IEOR, LLMs are more than capable of formulating and analyzing optimization problems in most modeling languages, such as AMPL’s Amplbot. While the rise of vibe coding has generated considerable excitement, it has also raised broader questions about the role of engineers in a rapidly evolving AI landscape. Headlines such as “ Vibe Coding is Coming for Engineering Jobs ” and “ Goodbye, $165,000 Tech Jobs. Student Coders Seek Work at Chipotle ” have become common enough to create the impression that advances in large language models for code generation are directly threatening the livelihoods of engineers whose work depends on programming expertise. This perception is not entirely unfounded: AI coding tools have clearly improved programmer productivity in certain settings. In a 2023 controlled experiment conducted by researchers at Microsoft and GitHub ( https://arxiv.org/abs/2302.06590 ), programmers using AI copilots completed their tasks 55.8% faster than those working without AI assistance. Results such as these help explain why many observers see LLMs as a transformative force in software development. Yet greater speed in narrowly defined coding tasks should not be confused with the ability to independently perform the work of an engineer. The same study that highlights productivity gains also presumes the continued presence of human direction, judgment, and oversight. In other words, AI tools may accelerate parts of the workflow, but they do not eliminate the need for someone to define the problem, evaluate tradeoffs, and ensure that the resulting system actually works in practice. This limitation becomes even clearer when LLMs are tested in settings that more closely resemble real software engineering. For example, an ICLR paper published in 2024 ( https://arxiv.org/abs/2310.06770 ) found that one of the strongest available models could solve only 1.96% of coding requests drawn from real GitHub issues. That result suggests a crucial distinction: models may be useful assistants for bounded tasks, but they remain far less capable when confronted with the ambiguity, persistence, and contextual complexity of real-world engineering work. That distinction matters because most engineers who work with code do far more than simply write it. In practice, they are not limited to solving the kind of self-contained exercises that appear in online programming platforms or college coursework. Rather, engineering work typically involves long-horizon, context-rich challenges that unfold across teams, systems, and time. Engineers must interpret imperfect requirements, work around legacy infrastructure, balance scalability with cost, manage security and privacy constraints, and make design choices whose consequences may not become clear until much later. A 2025 benchmark study on LLM performance in software engineering tasks ( https://arxiv.org/abs/2509.16941 ) underscores exactly this point, emphasizing that real-world engineering involves forms of reasoning and coordination that AI systems still struggle to handle reliably. Seen in this light, code itself is only one part of the job; the deeper task is problem-solving under messy, evolving, and highly variable conditions. This is also why the ability of LLMs to generate code does not represent as sharp a break from past engineering practice as some commentary sug Graduate Students - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Graduate Students People Faculty Staff Student Employees Student Organizations Graduate Students Job Market PhD MS MAnalytics Advisory Board Graduate Students The UC Berkeley Department of Industrial Engineering & Operations Research has master of engineering, master of analytics, master of science, and PhD graduate programs. The Department educates more than 200 graduate students per year. Graduates work in industry as data scientists, researchers, and engineers. Examples of recent companies that students work at include, Amazon, Google, Lyft, Uber, and other leading companies. PhD students work in industry as well or in academia as professors in leading universities. Recent PhD graduates have become professors at universities such as University of Maryland, University of Michigan, University of Southern California, and Virginia Tech. See the directory below to connect with our students and learn more about their interests. The Department's master's programs are one-year programs, and most students will be looking for industry positions at or near the end of the spring term. The PhD program takes 5 years to complete on average. For convenience, we list students who are academic job market candidates at the top of the page. For any questions about recruitment or for help connecting with a specific student, please contact Goldie Negelev at [email protected] . On the Job Market for 2024-25 Sorry, we couldn't find any posts. Please try a different search. PhD Isabel Agostino Wyame Benslimane Jon Bodine Denise Cerna Brad Chattergoon Xinqi Chen Gongyu Chen Ziheng Cheng Jiahui (Jeffrey) Cheng Ziyu (Cheryl) Chi Hannah Davalos Qiran Dong Ed Dowling Hangxin Gan Alberto Gennaro Taras Goral Charlie Gulian Junyu Guo Grace He Jinghai He Yuxuan (Ricky) Huang Jaewon Jeong Nanshan Jia Wangdong Jia Muyan (Jimmy) Jiang Suho Kang Jihun Kim Sukanya Kudva Tonghun Lee Joo Seung Lee Hangqi Li Hanyang Li Aoxi Li Liyuan Liang Fanghan Liu Ziyang Liu Xuchen Liu Haoyu Liu Zijiu Lyu Shruti Penumatsa Catalina Pezo Vergara Matteo Santamaria Shuo Sun Yifu Tang Carolina Vargas Rivera Hao Wang Hao (William) Wang Sansen Wei Chenran Weng Runhan Xie Zhixiao Xiong Ziteng Xu Samuel Xu Ang Xu Haoze (William) Yan Zoey Yao Chenfei Yuan Zizhao Zhang Jessica Zhao Tingyu Zhu MS Jack Agopian Jake Beckman Andrew Chan Samantha Lee Oscar Ludvigsen Pengxuan Ran Brooke Soobrian MAnalytics Oyun Erdene Adilbish Era Ahsan Sanchit Ram Arvind Madhumitha Chandrasekaran Robert Chang Kai Chang Ziying Chen Yirong Chen Peiqi Ding Yiran Ding Aivan Durfee Rameen Faisal Kevin Fang Mengting Feng Jasmine Guan Sammy Heinz Wen Chia Huang Chung-Hwei Huang Rimsha Ijaz Lili Jiang Yuan Jiang Yuqiao Jiang Ruoxi Li Yuan Liang Jhih Syuan Lin Ryan Lin Yifei Liu Bonnie Lu Yixing Ma Aaryan Magnani Sean Osborne Chenyang Qian Vineet Reddy JP Schuchter Jingyue Shao Yaolu Shen Grusha Shetty Changxin Shi Yuyang Sun Yinghan Sun Wish Wang Jiayuan Wang Jiajun Wang Chengke Wei Junxing Wu Yuyao Xia Jiaxi Xie Jiayi Xu Yifei Yang Tonya Yermilova Caiyuan Yin Qijie Yu Jiuqiao Yu Ray Zhang Zixuan Zhao Sihan Zhao Kevin Zheng Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Student Organizations - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Student Organizations People Faculty Staff Student Employees Student Organizations Graduate Students Advisory Board Student Organizations IEOR Graduate Student Group The purpose of the IEOR Grad Student Group is to enhance sharing, communication and collaboration among graduate students on academic research and professional development in the IEOR Department. The group seeks to provide events which allow for the sharing and open discussion on research ideas, methodologies, software, and offer post-graduation career development to support graduate students in their personal, academic, and research lives. Institute of Industrial and Systems Engineers (IISE) The Institute of Industrial and Systems Engineers (IISE) at Berkeley is the largest industrial engineering student organization on campus. Our mission is to provide Industrial Engineering and Operations Research (IEOR) and Operations Research and Management Sciences (ORMS) majors with the opportunity to engage with students, professionals, and alumni. We strive to create an inclusive environment for current and future students, and we focus on supporting one another in terms of academic, social, and career development. Alpha Pi Mu We are Alpha Pi Mu, the Industrial Engineering Honor Society and we serve the Industrial Engineering and Operations Research community at UC Berkeley, College of Engineering. Chapters now exist in almost every major university with an accredited industrial and engineering program. There are currently 68 active chapters of the society and a membership of over 38,000 with approximately 600 new members being initiated each year. While academic interests and abilities are required for membership, the society’s overall goals are much broader. Analytics at Berkeley Analytics @ Berkeley is a student organization with a mission to enhance industry exposure for the students of the Master of Analytics program. We were born out of a vision to establish the program as a feeder to some of the most sought after roles in the field of analytics by engendering relationships with leading global firms operating in the Bay Area and beyond. Our aim is to enable the students to find roles in firms of their choice that fit their career goals the best. Analytics Consulting Organization at Berkeley Analytics Consulting Organization at Berkeley is a student-led analytics consulting organization at the University of California Berkeley that partners with Berkeley IEOR Analytics Community to recruit ~50 - 80 students who work with various organizations in the Summer Semester. The recruited consultants are students from the IEOR Analytics community who have extensive analytical knowledge in multiple fields, including but not limited to E-Commerce, Supply Chain, Robotics, Finance, Marketing, Oil and Gas, E-Commerce, Construction, Health-Care, and Advertising Tech. The Organization works with the clients and the consultants, who team up as 3-5 students per project, working 20+ hours per week to deliver a successful project by the end of the project deliverable in the Summer, typically from June to August. Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Alumni & Friends - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Alumni Join Our Alumni Network Sign up to join our community of IEOR alumni and friends and be in the loop about events and opportunities. Join Alumni Profiles Our alumni work in a variety of positions in nearly every industry. See how our alumni are making an impact all over the world. See Profiles Alumni News Read in-depth stories about how our alumni are applying what they have learned at Berkeley in industry and academia. Learn more Giving Learn how you can make a donation to the IEOR department to help us support students, improve our facilities, and more. Donate Alumni Events See upcoming opportunities to connect and network with your fellow alumni at department sponsored events. See Events Alumni Magazine View our archive of yearly IEOR newsletters to learn about research, student projects, profiles, and more. Learn more Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Alumni Events - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Alumni / Alumni Events Alumni Join Our Alumni Network Alumni Profiles Alumni News Giving Alumni Events Alumni Newsletter Alumni Events Journey Through The World of Analytics – Workshop for Community College Faculty Join us in person at UC Berkeley, 1174 Etcheverry HallThursday, August 8 to Saturday, August 10, 2024 Join us for a transformative three-day workshop designed for community college faculty. In this workshop, you will learn to integrate analytics methods into your curriculum and equip your students with highly sought-after data-driven skills. Read More IEOR Seminar Series: Chen Chen, Ohio State University IEOR seminars occur on Mondays throughout the Spring semester. Seminars feature leading-edge research from experts in industrial engineering and operations research who come from local, national, and international institutions. Seminars are open to students, faculty, and the public.   Location: Etcheverry Hall, Room 1174 May 6 @ 3:30 – 4:45 PM Talk Title Parallel Preprocessing… Read More IEOR Seminar Series: Raghav Singal, Dartmouth University IEOR seminars occur on Mondays throughout the Spring semester in room 3108 of Etcheverry Hall. Seminars feature leading-edge research from experts in industrial engineering and operations research who come from local, national, and international institutions. Seminars are open to students, faculty, and the public.   Location: 3108 of Etcheverry Hall April 15 @ 3:30 – 4:45… Read More IEOR Seminar Series: Linwei Xin, University of Chicago Booth School of Business IEOR seminars occur on Mondays throughout the Spring semester in room 3108 of Etcheverry Hall. Seminars feature leading-edge research from experts in industrial engineering and operations research who come from local, national, and international institutions. Seminars are open to students, faculty, and the public.   Location: 3108 of Etcheverry Hall April 8 @ 3:30 – 4:45… Read More The Visionary Ideas of John von Neumann Book Talk Ananyo Bhattacharya (London Institute for Mathematical Sciences) Tuesday, March 26, 2024 3:30 – 4:15 p.m. PT Simons Institute for the Theory of Computing 2nd-floor interaction space, Calvin LabPlease register to attend. Please note that this talk will not be livestreamed or recorded.   John von Neumann was one of the most influential mathematicians who ever… Read More Invitation: Berkeley Analytics Lab Showcase Berkeley Analytics Lab Showcase Embark on a journey into the future of technology and industry! Date: Tuesday, April 23, 2024 Time: 12 PM to 2 PM Location: Mudd Hall, Seeley G. Mudd Bldg (1798 Scenic Ave, Berkeley, CA 94709) RSVP: bit.ly/AnalyticsShowcase-2024 From posters to app demos and interactive features, the Berkeley Analytics Lab Showcase is… Read More IEOR Seminar Series: David B. Shmoys, Cornell University IEOR seminars occur on Mondays throughout the Spring semester in room 3108 of Etcheverry Hall. Seminars feature leading-edge research from experts in industrial engineering and operations research who come from local, national, and international institutions. Seminars are open to students, faculty, and the public.   Location: 3108 of Etcheverry Hall April 1 @ 3:30 – 4:30… Read More IEOR Seminar Series: Jelena Diakonikolas, University of Wisconsin-Madison IEOR seminars occur on Mondays throughout the Spring semester in room 3108 of Etcheverry Hall. Seminars feature leading-edge research from experts in industrial engineering and operations research who come from local, national, and international institutions. Seminars are open to students, faculty, and the public.   Location: 3108 of Etcheverry Hall March 11 @ 3:30 – 4:45… Read More IEOR Seminar Series: Tor Schoenmeyr, Tesla Location: Barker Hall, Room 101 March 4 @ 3:30 – 4:30 PM Talk Title Theoretical models and practical considerations for material planning at a large automotive manufacturer   Abstract In this talk we will consider some common theoretical models for inventory management, namely the Newsvendor Model for safety stock and the Economic Order Quantity Model for order… Read More IEOR Seminar Series: Amin Saberi, Stanford IEOR seminars occur on Mondays throughout the Spring semester i Master of Science - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Academics / Master of Science Master of Science Ranked No. 3 in the Nation Applications for Fall 2026 admissions to the IEOR MS and PhD programs are now closed! Fall 2026 Deadline To Apply: Monday, December 15, 2025, 8:59 p.m. PST Apply Master of Analytics Master of Science Program Overview How to Apply Resources FAQ Master of Engineering PhD Program Overview Join the Next Generation of Technology Leaders Our Master of Science in Industrial Engineering & Operations Research (MS IEOR) program is a full-time, one-year master's degree program that will prepare you with the latest theory, computational tools, and methods for data-driven decision-making in a wide range of domains, such as artificial intelligence, high-tech, healthcare, energy, finance, consulting, data science, management, robotics, logistics, and human factors. Please note, the IEOR MS is a terminal degree, meaning that students in the MS program are not expected to continue further into the IEOR PhD program . MS students who wish to pursue the Berkeley IEOR PhD must submit a full application and meet all admission requirements. How to Apply Admissions Events Master of Science Info Session Student Profiles Click Here to Check out our Master of Science Student Cohort 2025-26 Expand Technical Expertise The Master of Science program will prepare students with the latest theory, computational tools, and research methods through advanced courses in optimization, modeling, simulation, decision analytics, and service operations. Explore Industry Applications Through the Master of Science coursework, students innovate in a wide range of domains including artificial intelligence, healthcare, energy, finance, consulting, robotics, logistics, human factors, and management. Unlock Rewarding Careers Master of Science graduates have broader skill sets and deeper theoretical understanding than undergraduates, leading to interesting careers that entail more responsibility and offer notably higher compensation on average. IEOR Graduate Student Services Contact us if you have any questions or concerns: IEOR Graduate Admissions [email protected] Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top People - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit People Faculty IEOR has been conducting research and educating students since 1956. Learn more Staff Our dedicated staff work collaboratively to drive the mission of IEOR forward and provide unwavering support to our students. Learn more Graduate Students Our graduate students are innovative problem-solvers who addresses complex challenges across industry and academia. Learn more Advisory Board The IEOR Advisory Board includes prestigious alums and industry representatives who provide strategic guidance. Learn more Student Organizations Department-sponsored student organizations foster an inclusive and supportive community where all students feel connected and valued. Learn more Alumni Our alumni work in a variety of positions in nearly every industry. Learn more Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Videos - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Videos News Recent News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Videos Visit our Berkeley IEOR YouTube channel to Subscribe to our channel and stay up to date on the latest seminars and info sessions produced by the Department. We invite you to explore a selection of lectures and discussions from the Berkeley IEOR Seminar Series, featuring industry leaders, pioneering researchers, and esteemed faculty from Berkeley IEOR. For the most up-to-date schedule of upcoming seminar talks, please visit ieor.berkeley.edu/ieor-seminar-series/ Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Alumni Newsletter - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Home / Alumni / Alumni Newsletter Alumni Join Our Alumni Network Alumni Profiles Alumni News Giving Alumni Events Alumni Magazine Alumni Magazine Berkeley IEOR Magazine is published annually in the Fall. Inside each edition, you will discover how industrial engineering and operations research touches countless lives — students, educators, members of industry, and colleagues. Winter/Spring 2026 Edition | Click here to access full magazine Winter 2025 Edition | Click here to access full magazine Winter 2024 Edition | Click here to access full magazine Directions 4141 Etcheverry Hall University of California Berkeley, California 94720-1777 Contact Us Graduate Student Services gradstudentservices-ieor@ berkeley.edu Graduate Admissions gradadmissions-ieor@ berkeley.edu Undergraduate Student Services [email protected] Public Affairs & Media Relations [email protected] [email protected] Academics Bachelor's B.A. Analytics B.S. Industrial Engineering & Operations Research Management, Entrepreneurship & Technology Master's Master of Analytics Master of Engineering Master of Science Doctoral Ph.D. Industrial Engineering & Operations Research Explore About News Research Alumni Industry Jobs Give IEOR Magazine IEOR Facebook Page IEOR Twitter Account IEOR LinkedIn Page IEOR Instagram Page Sign Up For Our Newsletter Privacy | Nondiscrimination | Accessibility Copyright © 2026 UC Regents Scroll To Top Energy Systems - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Energy Systems Research All Research Optimization and Algorithms Machine Learning and Data Science Stochastic Modeling and Simulation Robotics and Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Energy systems research in the IEOR Department focuses on modeling, analysis, and optimization of energy systems and, in particular, power systems. Our department is affiliated with PSERC (power systems engineering research center) of which Dr. Oren is a co-founder and site director, with CERTS (center for electric reliability technology solutions). Research activities have focused on a variety of topics including power systems economics, electricity market design, energy and environmental regulation, demand response, renewables integration, energy risk management, and the development of computational tools for planning, operation, and analysis of electric power systems. The research has been funded by PSERC, DOE, ARPA-E, NSF, FERC, CERTS, EPRI, LLNL, and the SIEMENS Co. The program boasts a long list of distinguished alums that currently hold academic faculty positions in power systems, economics, and operations research and executive positions in energy-related industries including electric utilities, energy trading, and consulting companies. Faculty Alper Atamturk Professor MAnalytics Program Director Javad Lavaei Associate Professor Shmuel Oren Professor of the Graduate School Zuo-Jun "Max" Shen Professor Emeritus Selected Publications Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden Rewards Publication date: August 13, 2023 Dogan, Ilgin & Shen, Max & Aswani, Anil. (2023). Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden Rewards. 10.48550/arXiv.2308.06717. Posted in Energy Systems , Financial Systems , Machine Learning and Data Science , Publications Big data-driven decoupling framework enabling quantitative assessments of electric vehicle performance degradation Publication date: December 1, 2022 Zhao, Yang & Wang, Zhenpo & Shen, Max & Zhang, Lei & Dorrell, David & Sun, Fengchun. (2022). Big data-driven decoupling framework enabling quantitative assessments of electric vehicle performance degradation. Applied Energy. 327. 120083. 10.1016/j.apenergy.2022.120083. Posted in Energy Systems , Publications Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation Publication date: October 1, 2021 Park, Sangwoo & Mohammadi-Ghazi, Reza & Lavaei, Javad. (2021). Nonlinear Least Absolute Value Estimator for Topology Error Detection and Robust State Estimation. IEEE Access. PP. 1-1. 10.1109/ACCESS.2021.3118036. Posted in Energy Systems , Publications Hybrid of fixed and mobile charging systems for electric vehicles: System design and analysis Publication date: May 1, 2021 Chengzhang, Wang & He, Fang & Shen, Max & Li, Meng. (2021). Hybrid of fixed and mobile charging systems for electric vehicles: System design and analysis. Transportation Research Part C: Emerging Technologies. 126. 103068. 10.1016/j.trc.2021.103068. Posted in Energy Systems , Publications Assessment of battery utilization and energy consumption in the large-scale development of urban electric vehicles Publication date: April 1, 2021 Zhao, Yang & Wang, Zhenpo & Shen, Max & Sun, Fengchun. (2021). Assessment of battery utilization and energy consumption in the large-scale development of urban electric vehicles. Proceedings of the National Academy of Sciences. 118. e2017318118. 10.1073/pnas.2017318118. Posted in Energy Systems , Publications Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow Publication date: January 5, 2021 T. Altun, R. Madani, A. Atamtürk, R.Baldick, A. Davoudi. Enhanced Modeling of Contingency Response in Security-constrained Optimal Power Flow. BCOL Research Report 21.01, IEOR, University of California-Berkeley. Posted in Energy Systems Mean–field moral hazard for optimal energy demand response management Publication date: January 1, 2021 Elie, Romuald & Hubert, Emma & Mastrolia, Thibaut & Possamaï, Dylan. (2019). Mean-field moral hazard for optimal energy demand response management. Posted in Energy Systems , Publications Uniqueness of Po Jobs Archive - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Skip to content Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. UC Berkeley | Berkeley Engineering | Alumni | Recruit Our Students | Give IEOR - Designing a More Efficient World &nbsp &nbsp &nbsp Menu About Department Why IEOR Message from the Chair Accreditation Contact Us About IEOR What is IEOR? Fields of Research Where Alumni Work Collaborate Donate Recruit Students Visiting Scholars Outreach Resources Directions Etcheverry Hall Safety & IT Resources Department Financial Resources Jobs Research Overview Optimization & Algorithms Machine Learning & Data Science Stochastic Modeling & Simulation Robotics & Automation Supply Chain Systems Financial Systems Energy Systems Healthcare Systems Labs The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Academics Undergraduate B.S. IEOR B.A. Analytics 5 Year: BS/MS IEOR B.S. M.E.T. Graduate Master of Analytics Master of Engineering Master of Science Doctorate General Courses Careers Graduate Student Handbook News News Alumni Magazine Department News IEOR Impact Sign Up for Our Newsletter For Press & Media Videos Follow us on Social Media Events Department Seminars Alumni Events People Faculty Staff Student Organizations Graduate Students Advisory Board Alumni With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Learn more about our faculty’s research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Submit Jobs Welcome to our jobs page. From this page, you can read postings for faculty and staff positions here at Berkeley IEOR. We also post open positions that interest current students and alumni. Associate Professor/Professor - Open Field - Industrial Engineering & Operations Research Deadline: December 15, 2025 Link to Job Posting   Job Postings - General The jobs listed below are NOT positions offered by the University of California, Berkeley or Berkeley IEOR. All job postings have been submitted by industry professionals who are not affiliated with UC Berkeley. We assume no responsibility as to genuineness, accuracy, correctness, compensation, or requirements. Our job posting system is an automated online system.   Note: These job postings are powered by Handshake, part of our student career services. IEOR Jobs Feed Infrastructure Platform Intern - Summer 2026 at Mizuho Americas May 11, 2026 Employer: Mizuho Americas Expires: 05/13/2026 Mizuho is a bank on the rise climbing the league tables, disrupting the status quo and attracting top talent. Positions are available across investment and corporate banking, capital markets, advisory, research, sales & trading, derivatives and corporate functions. We are looking for candidates who want to contribute to our entrepreneurial […] Paid Summer Ministry Position - Community Host Manager at YouthWorks May 11, 2026 Employer: YouthWorks Expires: 05/16/2026 Want to do meaningful work this summer that prepares you for your future? Apply to be a YouthWorks Community Host Manager!For over 30 years, YouthWorks has hired Christian young adults to lead Christ-centered mission trips for teenagers. Not only does this work make a tangible difference in communities across the U.S. […] STUDENT TRAINEE (AI/ML RESEARCH PROGRAM SUPPORT) at ASSISTANT SECRETARY OF THE NAVY FOR MANPOWER AND RESERVE AFFAIRS May 8, 2026 Employer: ASSISTANT SECRETARY OF THE NAVY FOR MANPOWER AND RESERVE AFFAIRS Expires: 05/16/2026 This is a DON Pathways Internship Program position. You will serve as a Student Trainee (AI/ML Research Program Support) in the Office of the ASN EI-E WASHINGTON DC (Office of the Assistant Secretary of the Navy for Energy, Installations, end Environment (OASN […] Senior General Manager at Piedmont Airlines May 7, 2026 Employer: Piedmont Airlines Expires: 05/22/2026 We can’t wait to share our passion for aviation with you! Join a team that works hard, cares for each other and offers plenty of opportunities to grow. At Piedmont Airlines, our strength is the way we deliver industry-leading service to our customers and airline partners. To continue our standard of […] Welding & Experiment Assembly Internship | Fall 2026 at Idaho National Laboratory May 7, 2026 Employer: Idaho National Laboratory Expires: 05/16/2026 Project Description:Reporting to the Senior Manager of the Fuels Development group, Idaho National Laboratory (INL) is seeking a motivated undergraduate student to join our team at the Materials and Fuels Complex (MFC). In this role, the intern will join a team that builds and qualifies experiments for nuclear test […] Business Systems Analyst 1 at NYS Department of Taxation and Finance May 5, 2026 Employer: NYS Department of Taxation and Finance Expires: 05/17/2026 Title: Business Systems Analyst Trainee 1Location: Albany, NYSchedule: Monday-FridayWork hours: 8:30am-4:30pmSalary: $53,764–$68,630Apply by: 05/16/2026 Title: Business Systems Analyst Trainee 2Location: Albany, NYSchedule: Monday-FridayWork hours: 8:30am-4:30pmSalary: $59,994–$76,359Apply by: 05/16/2026 Title: Business Systems Analyst 1Location: Albany, NYSchedule: Monday-FridayWork hours: 8:30am-4:30pmSalary: $66,951–$85,138Apply by: 05/16/2026 Minimum qualifications For the Trainee 1: Four years of business […] Middle School Math Teacher at St. Josaphat Parish School May 1, 2026 Employer: St. Josaphat Parish School Expires: 05/24/2026 Middle School Science and Math TeacherCompensation - $55,000 - $60,000Are you a passionate educator who loves working with young learners in a faith-filled environment? St. Josaphat
Showing first 200,000 of 469,719 chars · Full corpus: output/ieor-berkeley-edu/full-text.txt
◈ Crawled Pages — Provenance Chain
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Law I — Provenance · Law III — Reverse Ontology · source: http://ieor.berkeley.edu/ Visit Source ↗
Root-LD — Traveling Context Pod v1.0 · gdr-23e43107 · three layers
44
Graph Edges
64,946
Tokens Measured
0.0908
Type-Token Ratio
55
Schema Blocks
35%
Schema Coverage
Root-LD is the traveling context pod for this entity — permanent, provenance-grounded. The head <script> block is machine-readable. This section shows the same data to humans. We show the work in both spaces.
Layer 1 — Anchor · Immutable after mint. UUID, federation_id, content hash, timestamps. A new crawl appends to recursive — the anchor is never touched. Law I — Provenance.
rld:anchor — gdr-23e43107
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}
Layer 2 — Body · Complete measurement snapshot frozen at mint. Identity, SEO, schema graph, six-layer topology fingerprint, ratio signals, navigation. Law II — Temporal Attestation.
rld:body — ieor.berkeley.edu
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  },
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  "javascript_surface_ratio": 0.0,
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  "robots_complexity_score": 0,
  "ariadne_blocked": false,
  "security_label": "MINIMAL",
  "https_enforced": true,
  "freshness_label": "CURRENT",
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    "https://globaldataregistry.com/registry/schema/ledger/breadcrumblist",
    "https://globaldataregistry.com/registry/schema/ledger/listitem",
    "https://globaldataregistry.com/registry/schema/ledger/website",
    "https://globaldataregistry.com/registry/schema/ledger/searchaction",
    "https://globaldataregistry.com/registry/schema/ledger/entrypoint",
    "https://globaldataregistry.com/registry/schema/ledger/propertyvaluespecification",
    "https://globaldataregistry.com/registry/schema/ledger/article",
    "https://globaldataregistry.com/registry/schema/ledger/person",
    "https://globaldataregistry.com/registry/schema/ledger/collectionpage"
  ],
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  "topology_fingerprint_version": "1.0.0"
}
Layer 3 — Recursive · Empty at mint. Grows forever through accumulated corpus passes. Common edges (Law V), uncommon edges (Law VI), topology cluster scores. The graph builds itself. Law VII — Torus.
rld:recursive — edge_count=0
{
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  "appended_at": [],
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}
Root-LD v1.0 · root-ld.org · Law I+II+VII root-ld.org ↗
Schema.org Intelligence scored · graph traversal · Law VI negative space
35% coverage · 12 types · 31 props · 50 gaps · click to expand
35%
Schema Utilization Score
PARTIAL COVERAGE — GAPS IDENTIFIED
schema.org v2.0.0 · 31 props extracted · 50 gaps · http://ieor.berkeley.edu/
CreativeWorkWebPageReadActionImageObjectBreadcrumbListListItem
◈ Schema Graph — Three-Direction Traversal
Declared: WebPage · ReadAction · ImageObject · BreadcrumbList · ListItem · WebSite · SearchAction · EntryPoint · PropertyValueSpecification · Article · Person · CollectionPage
✓ Implemented
urlownhttps://ieor.berkeley.edu/
nameownDepartment of Industrial Engineering & Operations Research — UC Berkeley - UC Berkeley IEOR Department - Industrial Engineering &amp; Operations Research
isPartOfownhttps://ieor.berkeley.edu/#website
primaryImageOfPageownhttps://ieor.berkeley.edu/#primaryimage
imageownhttps://ieor.berkeley.edu/#primaryimage
thumbnailUrlownhttps://ieor.berkeley.edu/wp-content/uploads/2023/07/Why-choose-IEOR-1024x1024.png
datePublishedown2015-08-18T20:22:26+00:00
dateModifiedown2026-04-16T22:33:53+00:00
breadcrumbownhttps://ieor.berkeley.edu/#breadcrumb
inLanguageownen-US
potentialActionown[ReadAction]
targetownhttps://ieor.berkeley.edu/
contentUrlownhttps://ieor.berkeley.edu/wp-content/uploads/2023/07/Why-choose-IEOR.png
widthown1181
heightown1181
captionownWhy choose IEOR
itemListElementownHome
positionown1
descriptionownData Driven Decision Analytics
query-inputown[PropertyValueSpecification]
urlTemplateownhttps://ieor.berkeley.edu/?s={search_term_string}
valueRequiredownTRUE
valueNameownsearch_term_string
itemownhttps://ieor.berkeley.edu/
authorownGoldie Negelev
headlineownYing Cui Receives NSF CAREER Award for Optimization Research
mainEntityOfPageownhttps://ieor.berkeley.edu/ying-cui-receives-nsf-career-award-for-optimization-research/
wordCountown380
keywordsownFeatured (+1 more)
articleSectionownOptimization and Algorithms (+3 more)
1ownUndergraduate News
✗ Not Implemented / Gap
emailgap
numberOfEmployeesgap
openingHoursgap
logogap
contactPointgap
slogangap
sameAsgap
aggregateRatinggap
identifiergap
geogap
addressgap
areaServedgap
hasOfferCataloggap
priceRangegap
knowsAboutgap
alternateNamegap
foundingDategap
legalNamegap
telephonegap
significantLinkgap
mainContentOfPagegap
reviewedBygap
speakablegap
lastReviewedgap
specialtygap
relatedLinkgap
fundinggap
providergap
genregap
accessModeSufficientgap
acquireLicensePagegap
temporalCoveragegap
publishergap
thumbnailgap
commentCountgap
displayLocationgap
archivedAtgap
digitalSourceTypegap
assessesgap
CreativeWorkancestor +1schema.org/CreativeWork ↗10/111 (9%)
The most generic kind of creative work, including books, movies, photographs, software programs, etc.
wordCountthumbnailUrlkeywordsheadlineauthordatePublishedinLanguagepositionisPartOfdateModified
fundingprovidergenreaccessModeSufficientacquireLicensePagetemporalCoveragepublisherthumbnailcommentCountdisplayLocation
Thingancestor +2schema.org/Thing ↗6/13 (46%)
The most generic type of item.
namemainEntityOfPagepotentialActiondescriptionurlimage
sameAsadditionalTypeidentifierownersubjectOfalternateNamedisambiguatingDescription
SoftwareApplicationsibling via CreativeWorkschema.org/SoftwareApplication ↗23 exclusive
A software application.
fileSizecountriesSupportedfeatureListprocessorRequirementsstorageRequirementsreleaseNotessoftwareRequirementsoperatingSystem
MediaObjectsibling via CreativeWorkschema.org/MediaObject ↗18 exclusive
A media object, such as an image, video, audio, or text object embedded in a web page or a downloadable dataset i.e. DataDownload. Note that a creative work may
durationassociatedArticleheightstartTimeplayerTypesha256uploadDateineligibleRegion
VisualArtworksibling via CreativeWorkschema.org/VisualArtwork ↗13 exclusive
A work of art that is primarily visual in character.
weightheightcoloristartworkSurfaceartistartformdepthartEdition
CreativeWorkSeasonsibling via CreativeWorkschema.org/CreativeWorkSeason ↗10 exclusive
A media season, e.g. TV, radio, video game etc.
endDateseasonNumberactorepisodestartDatetrailernumberOfEpisodespartOfSeries
Coursesibling via CreativeWorkschema.org/Course ↗10 exclusive
A description of an educational course which may be offered as distinct instances which take place at different times or take place at different locations, or b
numberOfCreditssyllabusSectionseducationalCredentialAwardedhasCourseInstancetotalHistoricalEnrollmentfinancialAidEligiblecoursePrerequisitesoccupationalCredentialAwarded
MusicCompositionsibling via CreativeWorkschema.org/MusicComposition ↗10 exclusive
A musical composition.
recordedAsfirstPerformancelyricsmusicArrangementlyricistcomposeriswcCodemusicCompositionForm
TVSeriessibling via CreativeWorkschema.org/TVSeries ↗10 exclusive
CreativeWorkSeries dedicated to TV broadcast and associated online delivery.
containsSeasonmusicByactornumberOfSeasonsepisodetrailertitleEIDRnumberOfEpisodes
Reviewsibling via CreativeWorkschema.org/Review ↗9 exclusive
A review of an item - for example, of a restaurant, movie, or store.
itemReviewedassociatedClaimReviewpositiveNotesreviewAspectnegativeNotesassociatedMediaReviewreviewRatingassociatedReview
Clipsibling via CreativeWorkschema.org/Clip ↗9 exclusive
A short TV or radio program or a segment/part of a program.
endOffsetmusicBypartOfSeasonclipNumberactorpartOfSeriespartOfEpisodestartOffset
Episodesibling via CreativeWorkschema.org/Episode ↗9 exclusive
A media episode (e.g. TV, radio, video game) which can be part of a series or season.
durationmusicBypartOfSeasonactortrailerepisodeNumberpartOfSeriesproductionCompany
Messagesibling via CreativeWorkschema.org/Message ↗9 exclusive
A single message from a sender to one or more organizations or people.
toRecipientccRecipientdateReceivedrecipientdateReaddateSentbccRecipientmessageAttachment
HowTosibling via CreativeWorkschema.org/HowTo ↗8 exclusive
Instructions that explain how to achieve a result by performing a sequence of steps.
prepTimetoolstepyieldsupplyestimatedCosttotalTimeperformTime
Moviesibling via CreativeWorkschema.org/Movie ↗8 exclusive
A movie.
durationmusicByactortrailertitleEIDRsubtitleLanguageproductionCompanydirector
ExercisePlansibling via CreativeWorkschema.org/ExercisePlan ↗8 exclusive
Fitness-related activity designed for a specific health-related purpose, including defined exercise routines as well as activity prescribed by a clinician.
exerciseTypeworkloadintensityrepetitionsactivityFrequencyrestPeriodsadditionalVariableactivityDuration
HowToDirectionsibling via CreativeWorkschema.org/HowToDirection ↗8 exclusive
A direction indicating a single action to do in the instructions for how to achieve a result.
duringMediaprepTimetoolsupplybeforeMediatotalTimeperformTimeafterMedia
RealEstateListingchild / upgradeschema.org/RealEstateListing ↗+2 props
A [[RealEstateListing]] is a listing that describes one or more real-estate [[Offer]]s (whose [[businessFunction]] is typically to lease out, or to sell). The
datePostedleaseLength
MedicalWebPagechild / upgradeschema.org/MedicalWebPage ↗+1 props
A web page that provides medical information.
medicalAudience
QAPagechild / upgradeschema.org/QAPage ↗+0 props
A QAPage is a WebPage focussed on a specific Question and its Answer(s), e.g. in a question answering site or documenting Frequently Asked Questions (FAQs).
ContactPagechild / upgradeschema.org/ContactPage ↗+0 props
Web page type: Contact page.
AboutPagechild / upgradeschema.org/AboutPage ↗+0 props
Web page type: About page.
ProfilePagechild / upgradeschema.org/ProfilePage ↗+0 props
Web page type: Profile page.
CollectionPagechild / upgradeschema.org/CollectionPage ↗+0 props
Web page type: Collection page.
ItemPagechild / upgradeschema.org/ItemPage ↗+0 props
A page devoted to a single item, such as a particular product or hotel.
CheckoutPagechild / upgradeschema.org/CheckoutPage ↗+0 props
Web page type: Checkout page.
SearchResultsPagechild / upgradeschema.org/SearchResultsPage ↗+0 props
Web page type: Search results page.
FAQPagechild / upgradeschema.org/FAQPage ↗+0 props
A [[FAQPage]] is a [[WebPage]] presenting one or more "[Frequently asked questions](https://en.wikipedia.org/wiki/FAQ)" (see also [[QAPage]]).
◈ Structural Negative Type Space — Constitutional Law VI
◈ Action Branch

No structural connection to the Action branch. Graph position measurement. schema.org/Action ↗ · Law III — meaning is yours.

◈ BioChemEntity Branch

No structural connection to the BioChemEntity branch. Graph position measurement. schema.org/BioChemEntity ↗ · Law III — meaning is yours.

◈ Event Branch

No structural connection to the Event branch. Graph position measurement. schema.org/Event ↗ · Law III — meaning is yours.

◈ Intangible Branch

No structural connection to the Intangible branch. Graph position measurement. schema.org/Intangible ↗ · Law III — meaning is yours.

◈ MedicalEntity Branch

No structural connection to the MedicalEntity branch. Graph position measurement. schema.org/MedicalEntity ↗ · Law III — meaning is yours.

◈ Organization Branch

No structural connection to the Organization branch. Graph position measurement. schema.org/Organization ↗ · Law III — meaning is yours.

◈ Person Branch

No structural connection to the Person branch. Graph position measurement. schema.org/Person ↗ · Law III — meaning is yours.

◈ Place Branch

No structural connection to the Place branch. Graph position measurement. schema.org/Place ↗ · Law III — meaning is yours.

◈ Product Branch

No structural connection to the Product branch. Graph position measurement. schema.org/Product ↗ · Law III — meaning is yours.

◈ Taxon Branch

No structural connection to the Taxon branch. Graph position measurement. schema.org/Taxon ↗ · Law III — meaning is yours.

◈ Gap List (50 properties unmapped)
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+20 more gaps not shown
◈ Source Schema.org — Raw Extraction (55 blocks)
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◈ Source: http://ieor.berkeley.edu/ · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/academics/ba-analytics/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/about/directions/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/about/visiting-scholars/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/academics/bs-ms-ieor/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/about/message-from-the-chair/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: http://ieor.berkeley.edu/research/operations-supply-chain-logistics-production/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
Block 8 · @type: unknown
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◈ Source: https://ieor.berkeley.edu/academics/master-of-analytics-2/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/academics/master-of-engineering/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/about/etcheverry-hall-safety-it-resources/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/ying-cui-receives-nsf-career-award-for-optimization-research/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: http://ieor.berkeley.edu/research/machine-learning-data-science/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/staff/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/jobs/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/about/where-alumni-work/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/op-ed-engineering-in-the-era-of-vibe-coding/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/graduate-students/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/student-organizations/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/alumni-friends/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/alumni/alumni-events/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/academics/master-of-science/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: http://ieor.berkeley.edu/alumni/alumni-newsletter/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: http://ieor.berkeley.edu/research/energy-systems/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/about/ieoroutreach/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/academics/bs-ieor/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/research/robotics-automation/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/research/stochastic-modeling-simulation/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/social-media/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/about/why-ieor/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: http://ieor.berkeley.edu/research/optimization-algorithms/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/research/financial-systems/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/news/recent-news/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/ieor-seminar-series/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: http://ieor.berkeley.edu/research/healthcare-systems/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/academics/bs-management-entrepreneurship-technology/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/advisory-board/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/about/contact-us/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: http://ieor.berkeley.edu/research/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/about/what-is-ieor/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/academics/courses/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/academics/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/about/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/for-press-media/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/give/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/academics/phd/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/ieor-impact/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/uc-berkeley-ieor-students-earn-top-prize-in-iise-iab-video-competition/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/news/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/department-financial-resources/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/research/labs/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
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◈ Source: https://ieor.berkeley.edu/faculty/ · Fetched: 2026-05-12T18:56:38Z · Law I — Provenance
schema.org v2.0.0 · source: http://ieor.berkeley.edu/ schema.org/WebPage ↗
Semantic Words 40 words · frequency ranked · Law III
40 words · top 5: ieor · systems · berkeley · research · alumni · click to expand
Top 40 words by frequency from http://ieor.berkeley.edu/ + 65 interior pages (64,528 words total). Stop-words stripped. Ranked by repetition.
#1ieor2016x · 4.68%
#2systems1037x · 2.41%
#3berkeley1028x · 2.39%
#4research1027x · 2.38%
#5alumni939x · 2.18%
#6department792x · 1.84%
#7science665x · 1.54%
#8faculty609x · 1.41%
#9students594x · 1.38%
#10student585x · 1.36%
#11master576x · 1.34%
#12resources547x · 1.27%
#13engineering527x · 1.22%
#14graduate521x · 1.21%
#15news447x · 1.04%
#16analytics405x · 0.94%
#17optimization398x · 0.92%
#18data382x · 0.89%
#19energy343x · 0.8%
#20stochastic342x · 0.79%
#21supply338x · 0.78%
#22financial321x · 0.75%
#23healthcare319x · 0.74%
#24chain317x · 0.74%
#25media310x · 0.72%
#26robotics309x · 0.72%
#27impact290x · 0.67%
#28events283x · 0.66%
#29board275x · 0.64%
#30advisory274x · 0.64%
#31fields262x · 0.61%
#32learning258x · 0.6%
#33world246x · 0.57%
#34management239x · 0.55%
#35operations237x · 0.55%
#36industry216x · 0.5%
#37algorithms211x · 0.49%
#38modeling211x · 0.49%
#39industrial210x · 0.49%
#40machine207x · 0.48%
Law III — frequency measured, meaning is the reader's · source: http://ieor.berkeley.edu/
Text Topology Fingerprint v1.0.0 · very_long · 469,720 chars · Law III
Six-layer pre-linguistic shape measurement. Deterministic. Same input, same output, always. Hash: 6e30025ba824591df7cf58cb90e14759...
◈ Signal Matrix
0.091
TTR
0.040
HAPAX
0.960
REP
0.868
BIGRAM
0.441
H2T
0.470
CPRT
2.487
SKEW
13.910
KURT
1.240
C/P
1.567
PENT
0.941
S1P
0.001
NASC
TTR=type-token ratio · HAPAX=hapax ratio · REP=repetition score · BIGRAM=bigram repetition · H2T=hapax-to-type · CPRT=capital token ratio · SKEW=sentence skewness · KURT=sentence kurtosis · C/P=comma-period ratio · PENT=punct entropy · S1P=single-sent para ratio · NASC=non-ASCII ratio
◈ Topology Position
Latin dominant · narrow vocabulary range · short-form declarative register · moderate clause complexity · narrow topic focus · moderate uncommon edge signal
◈ Six Measurement Layers
Layer 1 — Character
0.0008
Non-ASCII Ratio
0.0 = Latin-dominant · 1.0 = fully non-Latin script
Layer 1 — Character
3.3520
Character Entropy
Shannon entropy of character distribution.
Layer 1 — Character
'e' (41768x)
Most Frequent
Highest-frequency character. Law V — common edge.
Layer 2 — Token
0.0908
Type-Token Ratio
Unique tokens / total tokens. Lexical diversity signal.
Layer 2 — Token
0.0401
Hapax Ratio
Tokens appearing exactly once. Law VI — uncommon edge.
Layer 6 — Document
0.4412
Hapax to Type
Hapax count / unique token count.
Layer 3 — Punctuation
1.2402
Comma/Period Ratio
Clause complexity per sentence.
Layer 3 — Punctuation
1.5668
Punct Entropy
Shannon entropy across punctuation types.
Layer 4 — Sentence
2291
Sentence Count
Total detected sentences across all crawled pages.
Layer 4 — Sentence
2.4867
Skewness
Positive = long-tail. Negative = conversational.
Layer 5 — Paragraph
0.9412
Single Sent Ratio
High = web copy. Low = academic prose.
Layer 6 — Document
0.9599
Repetition Score
Tokens appearing more than once / total.
◈ Token Length Distribution
1-3
23%
4-6
32%
7-10
36%
11-15
8%
16-20
0%
21+
0%
◈ Density Gradient — TTR per Document Tenth
Front-loaded = abstract/preamble · Flat = consistent prose · Back-loaded = building complexity
◈ Lexical Richness Curve — Rolling Window TTR
0.421.0
Window=50 tokens · Step=25 · 2596 data points
topology_fingerprint.py v1.0.0 · sha256: 6e30025ba824591d... · Law III + Law VI
Ratio Signals 8 deterministic measurements · the gap is the signal
Eight deterministic measurements. Law I: every value traces to its source stage.
schema density
0.7750
Schema props extracted / top semantic words.
nav ratio
0.2435
Nav URLs / total internal URLs.
content to structure ratio
0.3621
Total words / raw HTML bytes. Content density.
external tld diversity
3
Unique TLD count in outbound links.
self declaration coherence
0.4482
Fuzzy overlap across title / H1 / meta / schema name.
schema to nav alignment
0.0000
Schema type tokens vs nav link text overlap.
javascript surface ratio
0.0000
Fraction of interior pages JS-gated.
URL Depth Distribution
depth_0: 53 · depth_1: 27 · depth_2: 44 · depth_3plus: 106
Internal URLs by path depth. Depth 0 = root.
Tech Stack · Security · Freshness SecurityLabel.MINIMAL · FreshnessLabel.CURRENT
Sitemap: ✗Robots.txt: ✗Schema.org: ✓Open Graph: ✓Canonical: ✓HTTPS: ✓HSTS: ✗CSP: ✗
Security
SecurityLabel.MINIMAL
Freshness
FreshnessLabel.CURRENT
Server
cloudflare
cmsWordPress
cdnCloudflare
web_servercloudflare
analytics['Google Analytics', 'Google Tag Manager']
Ledger Appends 13 ledgers · graph edge traversal · Law V+VII
Build: national-transit-v1.0.0 Spec: Root-LD v1.0 Status: LIVE Minted: 2026-05-12
ieor.berkeley.edu · gdr-23e43107
ieor.berkeley.edu is recorded in the Global Data Registry — open provenance infrastructure for the machine-readable web.
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