Complete all courses and requirements listed below unless otherwise indicated.
Core Requirements
| Code | Title | Hours |
|---|---|---|
| Probability | ||
| Complete 4 semester hours from the following: | 4 | |
| Probability 1 | ||
| Probability 2 | ||
| Probabilistic Operation Research | ||
| Statistics | ||
| MATH 7342 | Mathematical Statistics | 4 |
| or MATH 7343 | Applied Statistics | |
| Operations Research | ||
| OR 6205 | Deterministic Operations Research | 4 |
| Optimization and Complexity | ||
| MATH 7234 | Optimization and Complexity | 4 |
Electives
| Code | Title | Hours |
|---|---|---|
| Complete 16 semester hours from the following: | 16 | |
| Algorithms | ||
| Machine Learning | ||
| Complexity Theory | ||
| Concepts of Object-Oriented Design | ||
| Concepts of Object-Oriented Design with C++ | ||
| Engineering Project Management | ||
| Economic Decision Making | ||
| Financial Management for Engineers | ||
| Customer-Driven Technical Innovation for Engineers | ||
| Product Development for Engineers | ||
| Healthcare Systems Modeling and Analysis | ||
| Systems Engineering in Public Programs | ||
| Lean Concepts and Applications | ||
| Biosensor and Human Behavior Measurement | ||
| Manufacturing Systems Design | ||
| Supply Chain Engineering | ||
| Simulation Analysis | ||
| Data Mining in Engineering | ||
| Statistical Methods in Engineering | ||
| Statistical Quality Control | ||
| Reliability Analysis and Risk Assessment | ||
| Human Factors Engineering | ||
| Numerical Analysis 1 | ||
| Numerical Analysis 2 | ||
| Riemannian Optimization | ||
| Graph Theory | ||
| Machine Learning and Statistical Learning Theory 1 | ||
| Machine Learning and Statistical Learning Theory 2 | ||
| Regression, ANOVA, and Design | ||
| Integer and Nonlinear Optimization | ||
| Logistics, Warehousing, and Scheduling | ||
Program Credit/GPA Requirements
32 total semester hours required
Minimum 3.000 GPA required