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.

Grade Requirements:  B+ in all required courses (see options below)

IDPS/SES ChairAli Jadbabaie


IDS.190 Doctoral Seminar in Statistics
Probability (pick one)
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)
6.252/15.084 Nonlinear Optimization
6.438 Algorithms for Inference
6.867 Machine Learning
9.520 Statistical Learning Theory and Applications
14.381 Statistical Methods in Economics
14.382 Econometrics
15.077 Statistical Learning and Data Mining
16.391 Statistics for Engineers and Scientists
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
Data Analysis (pick one)
6.869 Advances in Computer Vision
9.073/HST.460 Statistics for Neuroscience Research
9.272/HST.576 Topics in Neural Signal Processing
6.555, 16.456/HST.582 Biomedical Signal and Image Processing
18.367 Waves and Imaging
IDS.131/6.439 Statistics, Computation and Applications

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