Operations, Information & Technology

In the Operations, Information, and Technology field we use mathematical models to improve technological systems.

We develop new methods, improve the use of emerging technologies, study a wide variety of systems, and impact practice, using tools from operations research, game theory, econometrics, computer science, probability and statistics.

Our faculty research interests include health care systems, product design and manufacturing processes, supply networks, information systems, energy and environmental systems, homeland security systems, financial systems, social networks, and online markets. Our faculty-student ratio is approximately one-to-one allowing for personalized attention to students. 

Preparation and Qualifications

The program is intended for students with strong training in relevant mathematical methods and models who are interested in academic careers. Students who enroll in this program must have strong preparation in advanced calculus, linear algebra, or probability. Competence in optimization, computer programming, microeconomics, and classical statistics is also helpful. Recent admits have majored in Electrical and Industrial Engineering, Math, Statistics and Economics.

Recent Journal Articles in Operations, Information & Technology

Joann de Zegher, Dan A. Iancu, Hau L. Lee
Manufacturing and Service Operations Management. June
2019, Vol. 21, Issue 2, Pages 251-477
Kostas Bimpikis, Davide Crapis, Alireza Tahbaz-Salehi
Management Science. June
2019, Vol. 65, Issue 6, Pages 2646-2664
Kostas Bimpikis, Ozan Candogan, Daniela Saban
Operations Research. May
3, 2019, Vol. 67, Issue 3, Pages 599-904

Recent Insights by Stanford Business

July 12, 2019
The misclassification of hospital-acquired infections may be costing Medicare up to $200 million a year, a new study shows.
A nurse demonstrates putting on a second pair of protective gloves, Credit: Reuters/Mike Segar
May 17, 2019
Lawrence M. Wein finds that the benefits of testing outweigh the costs.
Lawrence M. Wein. Credit: Nancy Rothstein
December 3, 2018
Seven Stanford business professors recommend their favorite books.
A woman browsing the shelves at a bookstore. Credit: iStock/Satoshi-K