Interdisciplinary PhD in Political Science 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.
Grade Requirements: B in all required coursework (see options below)
PhD Earned on Completion: Political Science and Statistics
IDPS/Political Science Chair: Teppei Yamamoto
Seminar  
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 NonAsymptotic 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: Casual 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  77 Massachusetts Avenue  Cambridge, MA 021394307  6172531764 
Accessibility