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  
IDS.190  Doctoral Seminar in Statistics 
Probability (pick one)  
6.436  Fundamentals of Probability 
18.175  Theory of Probability 
Statistics (pick one) 

18.655  Mathematical Statistics 
IDS.160  Mathematical Statistics – A NonAsymptotic Approach 
Computation & Statistics (pick one)  
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 
9.520/6.860  Statistical Learning Theory and Applications 
6.252/15.084  Nonlinear Optimization 
6.256  Algebraic Techniques and Semidefinite Optimization 
6.438  Algorithms for Inference 
6.867  Machine Learning 
Data Analysis (pick one)  
18.367  Waves and Imaging 
9.073/HST.460  Statistics for Neuroscience Research 
9.272/HST.576  Topics in Neural Signal Processing 
6.555, 16.456/HST.582  Biomedical Signal and Image Processing 
6.869  Advances in Computer Vision 
IDS.131/6.439  Statistics, Computation and Applications 