The interdisciplinary program in operations research consists of six courses comprised of four core courses and two electives.
The four core courses are:
01:640:424 Stochastic Models in Operations Research (3)
01:711:453 Theory of Linear Optimization (3) or 01:640:354 Linear Optimization (3)
01:711:465 Integer Programming (3)
01:711:481 Case Studies in Applied Operations Research (3)
Electives may be chosen from the following:
01:198:323 Numerical Analysis and Computing (4)
01:198:344 Design and Analysis of Computer Algorithms (4)
01:198:424 Modeling and Simulation of Continuous Systems (4)
01:198:425 Computer Methods and Statistics (4)
01:198:440 Introduction to Artificial Intelligence (4)
01:220:322 Econometrics (3)
01:220:326 Econometric Theory (3)
01:220:401 Advanced Cross-Sectional and Panel Econometrics (3)
01:220:415 Portfolio Theory (3)
01:220:419 Managerial Economics (3)
01:220:421 Economic Forecasting and Big Data (3)
01:220:436 International Finance and Macroeconomics (3)
01:220:489 Topics in Advanced Economic Theory (3)
01:640:321 Introduction to Applied Mathematics (3)
01:640:338 Discrete and Probabilistic Models in Biology (3)
01:640:355 Game Theory (3)
01:640:373 Numerical Analysis I (3)
01:640:428 Graph Theory (3)
01:640:454 Combinatorics (3)
01:711:447 Discrete Mathematical Models and Optimization (3)
01:960:337 Managerial Statistics (3)
01:960:390 Introductory Computing for Statistics (1)
01:960:467 Applied Multivariate Analysis (3)
01:960:483 Statistical Quality Control (3)
01:960:484 Basic Applied Statistics (3)
01:960:491 Reliability-Quality Control (3)
14:540:311 Deterministic Models in Operations Research (3)
14:540:338 Probability Models in Operations Research (3)
33:623:370 Management Information Systems (3)
33:623:386 Operations Management (3)
33:623:400 Business Decision Analytics under Uncertainty (3) 33:623:470 Business Data Management (3)
The choice of alternate pertinent electives should be approved by the graduate program director.