Systems Ph.D. Degree Requirements
Requirements for admission to Ph.D. candidacy
Each student must take:
| Course number | Course name | Semester | Credits |
|---|---|---|---|
| SYSEN 6000 | Foundations of Complex Systems | Fall | 3 |
| SYSEN 6150 | Model Based Systems Engineering | Fall | 3 |
| SYSEN 8000 | Systems Doctoral Colloquium | Fall | 1 |
| SYSEN 8100 | Systems Seminar Series - Ph.D. | Fall & Spring | 1 |
Furthermore, before graduating a Ph.D. student shall obtain some appropriate background in each of the following four areas, either from prior study or by taking some of the suggested classes in the areas below. The exact subset of courses required is at the discretion of the student's Special Committee as it depends on the specific needs of each student.
Human-Centered Modeling
| Course Number | Course Title | Semester | Credit |
|---|---|---|---|
| AEM 6140 | Behavioral Economics and Managerial Decisions | Fall | 3 |
| AEM 6440 | Consumer Behavior | Spring | 3 |
| AEM 6120 | Applied Econometrics | Fall | 3 |
| CEE 6640 | Microeconometrics of Discrete Choice | Spring | 3 |
| ECON 7260 | Econometrics of Network Analysis | Fall | 4 |
| HADM 6470 | Consumer Behavior | Fall | 3 |
| NBA 6390 | Data Driven Marketing | Fall | 1.5 |
| NBA 6630 | Managerial Decision Making | Fall | 3 |
| MSE/CHEME/MAE 7070 | Professional Product Design Studio | Fall | 3 |
| PSYCH 6050 | Perception | Fall | 4 |
| SYSEN 5740 | Design Thinking for Complex Systems | Spring | 2 |
Risk, Uncertainty, Stochastic Modeling and Learning
| Course Number | Course Title | Semester | Credit |
|---|---|---|---|
| AEM 6061 | Risk Simulation & Monte Carlo Methods | Spring | 3 |
| CEE 6970 | Risk Analysis and Management | Spring | 3 |
| COMM 6860 | Risk Communication | Spring | 3 |
| ECON 7120 | Decision Making Uncertainty: Empirics | Spring | 4 |
| ORIE 6500 | Applied Stochastic Processes | Fall | 4 |
| ORIE 6510 | Probability | Spring | 4 |
| ORIE 6540 | Advanced Stochastic Processes | Fall | 3 |
| ORIE 6570 | Stochastic Dynamic Programming | Spring | 3 |
| ORIE 6580 | Simulation | Spring | 3 |
| ORIE 6630 | Risk Measures | Fall | 2 |
| ORIE 6700 | Statistical Principles | Fall | 4 |
| ORIE 6741 | Bayesian Machine Learning | Fall | 3 |
| ORIE 6750 | Optimal Learning | Fall | 3 |
| ORIE 6780 | Bayesian Statistics and Data Analysis | Fall | 3 |
| SYSEN 5300 | Systems Engineering and Six Sigma for the Design and Operation of Reliable Systems | Fall | 3-4 |
| SYSEN 6880 | Industrial Big Data Analytics and Machine Learning | Spring | 3 |
System Architecture, Design and Optimization
| Course Number | Course Name | Semester | Credit |
|---|---|---|---|
| SYSEN 5200 | Systems Analysis Behavior and Optimization | Spring | 3 |
| SYSEN 5350 | Multidisciplinary Design Optimization | Spring | 4 |
| SYSEN 6400 | Theory and Practice of Systems Architecture | Spring | 3 |
| SYSEN 6800 | Computational Optimization | Fall | 4 |
| ORIE 6300 | Mathematical Programming I | Fall | 4 |
| ORIE 6310 | Mathematical Programming II | Spring | 4 |
| ORIE 6320 | Nonlinear Programming | Fall | 3 |
| ORIE 6328 | Convex Analysis | Spring | 3 |
| ORIE 6334 | Combinatorial Optimization | Spring | 3 |
| ORIE 6350 | Foundations of Game Theory and Mechanical Design | Spring | 3 |
Complex Systems Science
| Course Number | Course Name | Semester | Credit |
|---|---|---|---|
| CS 6810 | Theory of Computing | Spring | 4 |
| MAE 6840 | Asymptotics and Perturbation Methods | Fall | 3 |
| MATH 4210 | Nonlinear Dynamics and Chaos | Spring | 4 |
| MATH 6270 | Applied Dynamical Systems | Spring | 4 |
| MATH 6280 | Complex Dynamical Systems | Fall or Spring | 4 |
In addition to these courses, each Ph.D. student will be required to complete two minors in either engineering, business, or the sciences (including social sciences) or other appropriate courses relating to areas such as health care, agriculture, etc. The criteria for how many and what courses must be taken in each minor are at the discretion of the committee members, although some fields may recommend their faculty to enforce specific guidelines.
Requirements for the Ph.D. and M.S. Graduate Minors
A Ph.D. student majoring in another graduate field can obtain a minor in Systems by successfully completing four courses, including SYSEN 6000 and SYSEN 6150. The four courses must be approved by a member of the Field of Systems who is a member of the student's special committee. Any course used to satisfy requirements of the student's major field of doctoral study may not be used to satisfy the minor in Systems.
An M.S. student majoring in another graduate field can obtain a minor in Systems by successfully completing two Systems courses, including SYSEN 6150 and one more course, preferably SYSEN 6000. The other systems-related course must be approved by a member of the Field of Systems who is a member of the student's special committee. Any course used to satisfy requirements of the student's major field of Masters study may not be used to satisfy the minor in Systems.