Interdisciplinary PhD in Political Science 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.

Grade Requirements:  B- in all required coursework (see options below)

PhD Earned on Completion: Political Science and Statistics

IDPS/Political Science Chair: Teppei Yamamoto

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)
14.380/14.381 Statistical Methods in Economics/Estimation and Inference for Linear Causal and Structural Models
6.7900 (6.867) Machine Learning
9.520 [J] Statistical Learning Theory and Applications
Data Analysis (pick one)
17.802 Quantitative Research Methods II:  Causal Inference
17.804 Quantitative Research Methods III: Generalized Linear Models and Extensions
17.806 Quantitative Research Methods IV:  Advanced Topics


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