Stanford University

Overview

The Operations, Information and Technology (OIT) PhD program at Stanford University is designed for students interested in leveraging rigorous methodologies to analyze and enhance complex technological and information systems. The program emphasizes interdisciplinary collaboration, allowing students to engage with faculty from operations research, machine learning, economics, and computer science to produce impactful research that bridges theoretical foundations and practical applications.

What you'll study

The OIT PhD program integrates comprehensive graduate coursework with extensive research training. Initially, students will complete a series of core and advanced classes, progressively shifting their focus toward dissertation research under the guidance of faculty mentors.

Coursework examples may include:

• Research in Operations, Information, and Technology
• Asymptotics in Operations Management
• Supply Chain Management
• Dynamic Pricing and Revenue Management
• Data, Learning, and Decision Making
• Empirics of Online Markets
• Engineering Online Markets
• Decision Making and Learning under Model Uncertainty
• Dynamic Programming and Stochastic Control

Dissertation component: A significant component of the program is the completion of a PhD dissertation based on original research, developed through a combination of coursework, research seminars, and continuous collaboration with a faculty advisor and committee.

Research development: Students will cultivate essential research skills in modeling, computational methods, and empirical analysis, while also learning to effectively communicate their findings through presentations and scholarly writing.

Entry requirements

Applicants to the OIT PhD program are typically required to submit standardized test scores, including the GRE® General Test, which assesses skills necessary for success in graduate-level study. A strong academic background in relevant fields is also essential.

Career prospects