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.
Students may pursue an optional concentration in management science within the MBA and MAM degree programs. To qualify for the concentration, students must take a minimum of 16 credit units (cu) of eligible courses. The Management Science Request form is found here. please note: check SIS for updated concentration information, the concentration will appear on your transcript and not your diploma
The deadlines to declare the Management Science concentration can be referenced in the SOM Academic Calendar
MBA Core Courses
| 2cu MGT 403 | Probability Modeling and Statistics |
| 2cu MGT 405 | Modeling Managerial Decisions |
| 2cu MGT 422 | Operations Engine |
A student exempting out of one or more core courses must make up the exempted credits from electives
***MBA students apply 6cu from the core
Elective Courses
| 4cu MGT 510 | Data Analysis and Causal Inference (R. Jensen) |
| 4cu MGT 542 | Speculation and Hedging in Financial Markets (S. Giglio) |
| 4cu MGT 544 | Investment Management (P. Goldsmith-Pinkham)- |
| 4cu MGT 556 | Big Data and Customer Analytics (K. Uetake) |
| 4cu MGT 575 | Social Media Analytics (T. Zaman) |
| 4cu MGT 595 | Applied Quantitative Finance (T. Moskowitz) |
| 4cu MGT 611 /HPM 611 | Policy Modeling (E. Kaplan) |
| 2cu MGT 616 | Artificial Intelligence, Innovation, and Markets (E. Chalioti)- |
| 4cu MGT 656/660 | Management of Software Development (K. Jensen) or Advanced Management of Software Development |
| 4cu MGT 672 /GLBL 543 | Practicum in Data Analysis Using Stata (J. Thomas) |
| 2cu MGT 803 | Decision Making with Data (P. Schott) |
| 4cu MGT 805 | Fixed Income Securities: Bonds, Swaps & Derivatives (S. Majd) |
| 2cu MGT 809 | Advanced Business Analytics with Spreadsheets (L. Meng & E. Pinker) |
| 4cu MGT 817 | Sports Analytics (T. Moskowitz & N. Rudi) |
| 2cu MGT 819 | Big Data (V. Manshadi) |
| 2cu MGT 822 | Game Theory and Market Design (J. Zhou) |
| 2cu MGT 830 | Survey Design and Analytics (C. Esteves-Sorenson) |
| 2cu MGT 831 | Sharing Economy (A. Oery) |
| 2cu MGT 851 | Strategic Market Measurement (A. Oery) |
| 2cu MGT 852 | Listening to the Customer (A. Oery) |
| 2cu MGT 855 | How to Design and Run Business Experiments (S. Frederick) |
| 2cu MGT 858 | Datasystems (K.Jensen) |
| 2cu MGT 872 | Managing Sustainable Operations (S. Alizamir) |
| 2cu MGT 873 | Supply Chain Management (S. Kim) |
| 2cu MGT 877 | Simulation Modeling (A. Jain) |
| 2cu MGT 879 | Healthcare Operations (E. Pinker) |
Other Yale Courses
Students may apply 1 nonSOM course (4 units) towards the management science concentration from the pre-approved list below.
COMPUTER SCIENCE (CPSC)
| CPSC 100 (also known as CS50) | Introduction to Computing and Programming |
| 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) |
STATISTICS AND DATA SCIENCE (S&DS)
| S&DS 262 | Computational Tools for Data Science (cross-list AMTH 262, S&DS 562) |
| S&DS 355 | Introduction to Machine Learning (cross-list S&DS 555) |
| S&DS 365 | Applied Data Mining and Machine Learning (cross-list S&DS 565) |
