Interdisciplinary PhD in Social & Engineering Systems 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 courses (see options below)

PhD Earned on Completion: Social and Engineering Systems and Statistics

IDPS/SES ChairAli Jadbabaie

Seminar

IDS.190Doctoral Seminar in Statistics – *only available in Fall*

Probability (pick one)

6.7700 (6.436)Fundamentals of Probability
18.675Theory of Probability

Statistics (pick one)

6.7730Modern Mathematical Statistics
18.655Mathematical Statistics
18.6501Fundamentals of Statistics
IDS.160Mathematical Statistics – a Non-Asymptotic Approach

Computation & Statistics (pick one)

6.7220 (6.252/15.084)Nonlinear Optimization
6.7810 (6.438)Algorithms for Inference
6.7900 (6.867)Machine Learning
9.520Statistical Learning Theory and Applications
14.380/14.381Statistical Methods in Economics/Estimation and Inference for Linear Causal and Structural Models
14.382Econometrics
15.077Statistical Learning and Data Mining
16.391Statistics for Engineers and Scientists
17.802Quantitative Research Methods II:  Casual Inference
17.804Quantitative Research Methods III:  Generalized Linear Models and Extensions
17.806Quantitative Research Methods IV:  Advanced Topics

Data Analysis (pick one)

6.8300 (6.869)Advances in Computer Vision
9.073/HST.460Statistics for Neuroscience Research
9.272/HST.576Topics in Neural Signal Processing
6.8800 (6.555, 16.456/HST.582)Biomedical Signal and Image Processing
18.367Waves and Imaging
6.3732 (IDS.131/6.439)Statistics, Computation and Applications
IDS.957Practical Experience in Data Analysis
Data Analysis (pick one)