Operations Research (OR) builds quantitative models of complex operations and uses those models to facilitate decision making.
OR techniques are applied widely to organizations and activities, including manufacturing, transportation and distribution, the public sector, government, the military, and the health care industry.
Key concepts include probability, statistics, mathematical programming, decision analysis, and stochastic processes.
| The curriculum consists of four full subjects from the following list, at least two full subjects of which must be taught in Course 15 (two six-unit subjects count as one elective) | Units | |
|---|---|---|
| 2.852 | Manufacturing Systems Analysis | 12 |
| 6.034 | Artificial Intelligence | 12 |
| 6.046 | Design and Analysis of Algorithms | 12 |
| 6.938 | Engineering Risk-Benefit Analysis | 12 |
| 14.12 | Economic Applications of Game Theory | 12 |
| 15.025 | Game Theory for Strategic Advantage | 9 |
| 15.034 | Data Analysis for Management | 9 |
| 15.062 | Data Mining: Finding the Data and Models that Create Value | 6 |
| 15.071 | The Edge: Decision Methodologies for Managers | 9 |
| 15.073 | Logistical and Transportation Planning Methods | 12 |
| 15.761 | Introduction to Operations Management | 9 |
| 15.762 | Supply Chain Planning | 6 |
| 15.763 | Manufacturing System and Supply Chain Design | 6 |
| 15.770 | Logistics Systems | 12 |
| 15.871 | Introduction to System Dynamics | 6 |
| 15.872 | System Dynamics II | 6 |
| 15.875 | Applications of System Dynamics | 9 |
| 18.433 | Combinatorial Optimization | 12 |
Prof. James Orlin provides a list of additional OR electives and information about the concentration on his OR Concentration site.