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

SeminarGrade Requirement
IDS.190Doctoral Seminar in Statistics – *only available in Fall*P
Probability (pick one)
6.7700 (6.436)Fundamentals of ProbabilityB
18.675Theory of ProbabilityB
Statistics (pick one)
18.655Mathematical Statistics  A-
IDS.160Mathematical Statistics – A Non-Asymptotic ApproachA-
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
18.338Eigenvalues of Random Matrices
6.5210 (18.415/6.854)Advanced Algorithms
6.5220 (18.416/6.856)Randomized Algorithms
18.657Topics 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.460Statistics for Neuroscience Research
9.272/HST.576Topics in Neural Signal Processing
18.367Waves and Imaging
6.3732 (IDS.131/6.439)Statistics, Computation and Applications