Interdisciplinary PhD in Social & Engineering Systems 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:

IDS.190 Doctoral Seminar in Statistics
Probability (pick one)
6.436 Fundamentals of Probability
18.175 Theory of Probability
18.655 Mathematical Statistics
Computation & Statistics (pick one)
15.077 Statistical Learning and Data Mining
14.382 Econometrics
6.438 Algorithms for Inference
9.520 Statistical Learning Theory and Applications
17.804 Quantitative Research Methods III:  Generalized Linear Models and Extensions
14.381 Statistical Methods in Economics
6.434 Statistics for Engineers and Scientists
6.867 Machine Learning
17.802 Quantitative Research Methods II:  Casual Inference
17.806 Quantitative Research Methods IV:  Advanced Topics
Data Analysis (pick one)
Any acceptable Data Analysis subject from the Interdisciplinary Doctoral Program in Statistics of Econ or Math.