Operations Research (MS)
Graduate studies in Operations Research enables students to concentrate their studies in methodological areas such as mathematical programming, stochastic models, and simulation. Students may complete the studies on a full time (12 points per term) or part time basis.
Operations Research has eight areas of concentrations, including:
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Analytics;
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Stochastic Modeling;
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Entrepreneurship and Innovation;
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Finance and Management;
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Healthcare Management;
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Logistics and Supply Chain Management;
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Machine Learning and Artificial Intelligence; and
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Optimization.
Students may select from a variety of approved electives from the Department, Columbia Business School, and the Graduate School of Arts and Sciences. Additional details regarding these concentrations and electives are available in the Departmental office and on IEOR's website at ieor.columbia.edu.
Operations Research
Code | Title | Points |
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Required Core Courses | ||
Choose one of the following: | ||
INTRO-PROBABILITY & STATISTICS | ||
INTRODUCTION TO PROBABILITY AND STATISTICS (for spring intake only) 1 | ||
IEOR E4004 | OPTIMIZATION MODELS AND METHODS | |
IEOR E4106 | STOCHASTIC MODELS | |
IEOR E4404 | SIMULATION | |
Concentrations | ||
The department recommends taking three to five elective courses, depending on the concentration. | ||
Analytics | ||
Entrepreneurship and Innovation | ||
Finance and Management | ||
Healthcare Management | ||
Logistics and Supply Chain Management | ||
Machine Learning and Artificial Intelligence | ||
Optimization | ||
Stochastic Modeling |
- 1
STAT GU4001 INTRODUCTION TO PROBABILITY AND STATISTICS will not count toward the 18 IEOR point requirement.