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Management Science Major

MBA, MAM, and GBS students at the Yale School of Management may pursue an optional major in management science drawing on Yale SOM faculty’s broad expertise in applying quantitative methods to challenges in business and management. International students who pursue the management science major will have the opportunity to qualify for an additional two-year STEM extension of the Post-Completion OPT work permission*. Students will earn the major by completing a minimum of 16 credit units (cu) of eligible courses.

The following definition of management science, stated in the U.S. Department of Education’s Classification of Instructional Programs (CIP), guides a faculty committee in determining which courses are eligible for the major:

The Management Science major is a general program focusing on the application of statistical modeling, data warehousing/mining, programming, forecasting, and operations research techniques to the analysis of problems of business organization and performance. Includes instruction in optimization theory and mathematical techniques, data warehousing/mining, stochastic & dynamic modeling, operations analysis, and the design and testing of prototype systems/evaluation models.

*Enrollment in a STEM field is the first qualification in a series of eligibility criteria for STEM OPT extension. Further information about eligibility and requirements for the STEM OPT extension is available on the Department of Homeland Security website and through Yale’s Office of International Students and Scholars.

View a list of SOM courses with credit units
View sample schedule

Other Yale Courses

Students may apply 1 non-SOM course (4 units) toward the management science major from the pre-approved list below.

Applied Mathematics
Course Course Name
AMTH 552 Deep Learning Theory and Applications
Biostatistics
Course Course Name
BIS 515 Accelerated Biostatistics
Computer Science
Course Course Name
CPSC 1001 (also formerly known as CS50, CPSC 112) Introduction to Programming
CPSC 1100 Python Programming for Humanities and Social Sciences
CPSC 1230 YData: An Introduction to Data Science (cross-list with S&DS 1230, PLSC 3508, S&DS 5230)
CPSC 2010 Introduction to Computer Science
CPSC 2230 Data Structures and Programming Techniques
CPSC 3650 Algorithms (Cross-list ECON 3650)
CPSC 4770/5770 Natural Language Processing
CPSC 5830 Deep Learning on Graph-Structured Data
GLBL 5050 Introduction to Python for Global Affairs
GLBL 6115 Topics in Computer Science and Global Affairs
Global Affairs
Course Course Name
GLBL 5050 Introduction to Python for Global Affairs
GLBL 6115 Topics in Computer Science and Global Affairs
Physics
Course Course Name
PHYS 3450 Introduction to Quantum Information Processing and Communication
Political Science
Course Course Name
PLSC 5360 Applied Quantitative Research Design
Statistics and Data Science
Course Course Name
S&DS 1720 YData: Data Science for Political Campaigns
S&DS 262 Computational Tools for Data Science (cross-list AMTH 262, S&DS 562)
S&DS 2650/S&DS 5650 Introductory Machine Learning (formerly S&DS 355 Introduction to Machine Learning)
S&DS 3650 Intermediate/Applied Data Mining and Machine Learning (cross-list S&DS 6650))
S&DS 5410/MATH 2410 Probability Theory
BIS 515 Accelerated Biostatistics

*Some courses may not be offered in the current academic year (2025-2026) *