Interdisciplinary PhD in Mechanical Engineering and Statistics
Requirements:
Students must complete their primary program’s degree requirements along with the IDPS requirements. Statistics requirements must not unreasonably impact performance or progress in a student’s primary degree program.
Grade Requirements: B+ in all required coursework (see options below)
PhD Earned on Completion: Mechanical Engineering and Statistics
IDPS/Mechanical Engineering Chair: Themistoklis Sapsis
| Seminar | |
| IDS.190 | Doctoral Seminar in Statistics – *only available in Fall* |
| Probability (pick one) | |
| 6.7700 (6.436) | Fundamentals of Probability |
| 18.675 | Theory of Probability |
| Statistics (pick one) |
|
| 18.655 | Mathematical Statistics |
| 18.6501 | Fundamentals of Statistics |
| IDS.160 | Mathematical Statistics – a Non-Asymptotic Approach |
| Computation & Statistics (pick one) | |
| 2.168 | Learning Machines |
| 6.7910 (6.860) | Statistical Learning Theory and Applications |
| Data Analysis (pick one) | |
| 2.122 | Stochastic Systems |
| 2.29 | Numerical Fluid Mechanics |
