Interdisciplinary PhD in Mathematics 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.
PhD Earned on Completion: Mathematics and Statistics
IDPS/Mathematics Chair: Philippe Rigollet
| Seminar Grade Requirement |
|
| IDS.190 | Doctoral Seminar in Statistics P |
| Probability (pick one) | |
| 6.7700 (6.436) | Fundamentals of Probability B |
| 18.675 | Theory of Probability B |
| Statistics (pick one) |
|
| 18.655 | Mathematical Statistics A- |
| IDS.160 | Mathematical Statistics – A Non-Asymptotic Approach A- |
| Computation & Statistics (pick one) Grade Requirement: B (all options) | |
| 6.7220 (6.252/15.084) | Nonlinear Optimization |
| 6.7230 (6.256) | Algebraic Techniques and Semidefinite Optimization |
| 6.7810 (6.438) | Algorithms for Inference |
| 6.7900 (6.867) | Machine Learning |
| 6.7910 (9.520/6.860) | Statistical Learning Theory and Applications |
| 6.7320 (18.337/6.338) | Numerical Computing and Interactive Software |
| 18.338 | Eigenvalues of Random Matrices |
| 6.5210 (18.415/6.854) | Advanced Algorithms |
| 6.5220 (18.416/6.856) | Randomized Algorithms |
| 18.657 | Topics in Statistics |
| Data Analysis (pick one) Grade Requirement: B (all options) | |
| 6.8800 (6.555, 16.456/HST.582) | Biomedical Signal and Image Processing |
| 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 |
| 18.367 | Waves and Imaging |
| 6.3732 (IDS.131/6.439) | Statistics, Computation and Applications |
