PhD Program
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
Alumni Profiles
Junyu Cao
Assistant Professor in the Department of Information, Risk, and Operations Management (Decision Science) at McCombs School of Business, The University of Texas at Austin
Salar Fattahi
Assistant Professor in the Department of Industrial and Operations Engineering at the University of Michigan
Yonatan Mintz
Assistant professor in the Industrial and Systems Engineering department at the University of Wisconsin, Madison
Marie Pelagie Elimbi Moudio
Meet Marie Pelagie Elimbi Moudio – a trailblazing Berkeley IEOR Ph.D. student and the inspiration behind The Marie Pelagie Elimbi Moudio Fellowship in IEOR (UC Berkeley photo by Adam Lau) The Department of Industrial Engineering and Operations Research (IEOR) is pleased to announce the establishment of The Marie Pelagie Elimbi Moudio Fellowship in IEOR. This…
Recent News
Ying Cui Receives NSF CAREER Award for Optimization Research
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…
UC Berkeley IEOR Ranked No. 2 in the Nation by U.S. News
The Department of Industrial Engineering and Operations Research (IEOR) at UC Berkeley has advanced to No. 2 among the nation’s best IEOR graduate programs, up one spot from lsat year, according to the latest U.S. News & World Report rankings released April 7. UC Berkeley College of Engineering maintained its…
UC Berkeley researchers tackle bidder collusion in high-stakes auctions
In recent years, economists and regulators have begun examining how artificial intelligence is being used to set prices and bids across a range of markets. In some sectors, including housing, companies rely on automated pricing systems that analyze market conditions and competitors’ data to recommend prices in real time. Supporters…
When AI Image Generators Refuse
New UC Berkeley benchmark examines the trade-off between safety and usability in text-to-image models Text-to-image (T2I) models have become a central part of today’s artificial intelligence ecosystem, powering tools that generate images from short text descriptions. As these systems grow more capable and widely deployed, concerns about safety have followed…
UC Berkeley’s New Energy Analytics Course Bridges Data, Engineering and Policy
The Department of Industrial Engineering and Operations Research at University of California, Berkeley has launched a new graduate course this spring focused on the expanding role of analytics in the global energy sector. Offered as IND ENG 290, Energy Analytics introduces students to how quantitative methods are applied in energy…
How AI prompting shapes accuracy, efficiency and cost
New UC Berkeley research maps how AI reasoning strategies affect accuracy, efficiency As large language models (LLMs) move from research labs into classrooms, offices and engineering workflows, “prompt engineering” has become a central practice for shaping how LLMs reason and respond. A new study led by UC Berkeley researchers goes…