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
| IDS.190 | Doctoral Seminar in Statistics – *only Fall* | P |
Probability (pick one)
| 6.7700 (6.436) | Fundamentals of Probability | B |
| 18.675 | Theory of Probability | B |
Statistics (pick one)
| 6.7730 | Modern Mathematical Statistics | A- |
| 18.655 | Mathematical Statistics | A- |
| IDS.160 | Mathematical Statistics – A Non-Asymptotic Approach | A- |
Computation & Statistics (pick one)
| 6.7220 (6.252/15.084) | Nonlinear Optimization | B |
| 6.7230 (6.256) | Algebraic Techniques and Semidefinite Optimization | B |
| 6.7810 (6.438) | Algorithms for Inference | B |
| 6.7900 (6.867) | Machine Learning | B |
| 6.7910 (9.520/6.860) | Statistical Learning Theory and Applications | B |
| 6.7320 (18.337/6.338) | Numerical Computing and Interactive Software | B |
| 18.338 | Eigenvalues of Random Matrices | B |
| 6.5210 (18.415/6.854) | Advanced Algorithms | B |
| 6.5220 (18.416/6.856) | Randomized Algorithms | B |
| 18.657 | Topics in Statistics | B |
Data Analysis (pick one)
| 6.8800 (6.555, 16.456/HST.582) | Biomedical Signal and Image Processing | B |
| 6.8300 (6.869) | Advances in Computer Vision | B |
| 9.073/HST.460 | Statistics for Neuroscience Research | B |
| 9.272/HST.576 | Topics in Neural Signal Processing | B |
| 18.367 | Waves and Imaging | B |
| 6.3732 (IDS.131/6.439) | Statistics, Computation and Applications | B |