Interdisciplinary PhD in Social & Engineering Systems 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 courses (see options below)
PhD Earned on Completion: Social and Engineering Systems and Statistics
IDPS/SES Chair: Ali Jadbabaie
| 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) | |
| 6.7220 (6.252/15.084) | Nonlinear Optimization |
| 6.7810 (6.438) | Algorithms for Inference |
| 6.7900 (6.867) | Machine Learning |
| 9.520 | Statistical Learning Theory and Applications |
| 14.380/14.381 | Statistical Methods in Economics/Estimation and Inference for Linear Causal and Structural Models |
| 14.382 | Econometrics |
| 15.077 | Statistical Learning and Data Mining |
| 16.391 | Statistics for Engineers and Scientists |
| 17.802 | Quantitative Research Methods II: Casual Inference |
| 17.804 | Quantitative Research Methods III: Generalized Linear Models and Extensions |
| 17.806 | Quantitative Research Methods IV: Advanced Topics |
| Data Analysis (pick one) | |
| 6.8300 (6.869) | Advances in Computer Vision |
| 9.073/HST.460 | Statistics for Neuroscience Research |
| 9.272/HST.576 | Topics in Neural Signal Processing |
| 6.8800 (6.555, 16.456/HST.582) | Biomedical Signal and Image Processing |
| 18.367 | Waves and Imaging |
| 6.3732 (IDS.131/6.439) | Statistics, Computation and Applications |
| IDS.957 | Practical Experience in Data Analysis |
