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.
IDPS/Mathematics Chair: Philippe Rigollet
| Seminar Grade Requirement |
|
| IDS.190 | Doctoral Seminar in Statistics P |
| Probability (pick one) | |
| 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) | |
| 6.252/15.084 | Nonlinear Optimization |
| 6.256 | Algebraic Techniques and Semidefinite Optimization |
| 6.438 | Algorithms for Inference |
| 6.867 | Machine Learning |
| 9.520/6.860 | Statistical Learning Theory and Applications |
| 18.337/6.338 | Numerical Computing and Interactive Software |
| 18.338 | Eigenvalues of Random Matrices |
| 18.415/6.854 | Advanced Algorithms |
| 18.416/6.856 | Randomized Algorithms |
| 18.657 | Topics in Statistics |
| Data Analysis (pick one) Grade Requirement: B (all options) | |
| 6.555, 16.456/HST.582 | Biomedical Signal and Image Processing |
| 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 |
| IDS.131/6.439 | Statistics, Computation and Applications |
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