Interdisciplinary PhD in Brain and Cognitive Sciences 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.

PhD Earned on Completion: Cognitive Science and Statistics or Neuroscience and Statistics

IDPS/BCS Chair:  Sasha Rakhlin

IDS.190 Doctoral Seminar in Statistics
Probability (pick one)
6.7700 (6.436) Fundamentals of Probability
18.675 Theory of Probability
Statistics (pick one)
18.655 Mathematical Statistics
18.6501 Fundamentals of Statistics
IDS.160 Mathematical Statistics – a Non-Asymptotic Approach
Computation & Statistics (pick one)
6.8800 (6.555/16.456) Biomedical Signal and Image Processing
6.7900 (6.867) Machine Learning
9.190 Computational Psycholinguistics
9.520 Statistical Learning Theory and Applications
9.660 Computational Cognitive Science
Data Analysis (pick one)
7.571 and 7.572 Quantitative Analysis of Biological Data and Quantitative Measurements and Modeling of Biological Systems
9.073 Statistics for Neuroscience Research
9.272 Topics in Neural Signal Processing
9.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis



MIT Statistics + Data Science Center
Massachusetts Institute of Technology
77 Massachusetts Avenue
Cambridge, MA 02139-4307