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 NonAsymptotic 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 