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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. For MBA students, 6 cu of the requirement will come from the MBA core courses MGT 403: Probability Modeling and Statistics, MGT 405: Modeling Managerial Decisions, and MGT 422: Operations Engine.

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.

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

Computer Science
Course Course Name
CPSC 100 (also known as CS50) Introduction to Computing and Programming
CPSC 110 Python Programming for Humanities and Social Sciences
CPSC 112 Introduction to Programming
CPSC 123 YData: An Introduction to Data Science (cross-list with S&DS 123, PLSC 351, S&DS 523)
CPSC 201 Introduction to Computer Science
CPSC 223 Data Structures and Programming Techniques
CPSC 365 Algorithms (Cross-list ECON 365)
CPSC 477/577 Natural Language Processing
CPSC 583 Deep Learning on Graph-Structured Data
GLBL 6115 Topics in Computer Science and Global Affairs
Statistics and Data Science
Course Course Name
S&DS 262 Computational Tools for Data Science (cross-list AMTH 262, S&DS 562)
S&DS 265/S&DS 565 Introductory Machine Learning (formerly S&DS 355 Introduction to Machine Learning)
S&DS 365 Applied Data Mining and Machine Learning (cross-list S&DS 565)
BIS 515 Accelerated Biostatistics
Applied Mathematics
Course Course Name
AMTH 552 Deep Learning Theory and Applications

*Some courses may not be offered in the current academic year (2023-2024) *

*Updated as of February 13, 2024*