Interdisciplinary PhD in Mathematics and Statistics

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
18.175 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