36 courses
59 courses · Carnegie Mellon University · Fall 2026
- 36 198 — Research Training: Writing in Statistics1 section
- 36 200 — Reasoning with Data1 section
- 36 202 — Methods for Statistics & Data Science1 section
- 36 204 — Discovering the Data Universe1 section
- 36 218 — Probability Theory for Computer Scientists1 section
- 36 219 — Probability Theory and Random Processes1 section
- 36 220 — Engineering Statistics and Quality Control1 section
- 36 225 — Introduction to Probability Theory1 section
- 36 226 — Introduction to Statistical Inference1 section
- 36 235 — Probability and Statistical Inference I1 section
- 36 236 — Probability and Statistical Inference II1 section
- 36 290 — Introduction to Statistical Research Methodology1 section
- 36 297 — Early Undergraduate Research1 section
- 36 300 — Statistics & Data Science Internship1 section
- 36 301 — Documenting Human Rights1 section
- 36 303 — Sampling, Survey and Society1 section
- 36 309 — Experimental Design for Behavioral & Social Sciences1 section
- 36 311 — Statistical Analysis of Networks1 section
- 36 313 — Statistics of Inequality and Discrimination1 section
- 36 315 — Statistical Graphics and Visualization1 section
- 36 318 — Introduction to Causal Inference1 section
- 36 319 — Statistics and Machine Learning for the Physical Sciences1 section
- 36 320 — Statistics & Data Science Internship1 section
- 36 326 — Mathematical Statistics (Honors)1 section
- 36 350 — Statistical Computing1 section
- 36 390 — Study Abroad Experience in Statistics and Data Science1 section
- 36 396 — Tartan Athletics Analytics1 section
- 36 400 — Overview of Statistical Learning and Modeling1 section
- 36 401 — Modern Regression1 section
- 36 402 — Advanced Methods for Data Analysis1 section
- 36 410 — Introduction to Probability Modeling1 section
- 36 460 — Special Topics: Sports Analytics1 section
- 36 461 — Special Topics: Statistical Methods in Epidemiology1 section
- 36 462 — Special Topics: Statistical Machine Learning1 section
- 36 463 — Special Topics: Multilevel and Hierarchical Models1 section
- 36 464 — Special Topics: Psychometrics: A Statistical Modeling Approach1 section
- 36 465 — Special Topics: Conceptual Foundations of Statistical Learning1 section
- 36 466 — Special Topics: Statistical Methods in Finance1 section
- 36 467 — Special Topics: Data over Space & Time1 section
- 36 468 — Special Topics: Text Analysis1 section
- 36 469 — Special Topics: Statistical Genomics and High Dimensional Inference1 section
- 36 470 — Special Topics: Statistical Methods in Health Sciences1 section
- 36 471 — Special Topics: Time Series1 section
- 36 472 — Special Topics: Computational Statistical Methods in Life Sciences1 section
- 36 473 — Special Topics: Statistical Principles of Generative AI1 section
- 36 490 — Undergraduate Research1 section
- 36 493 — Sports Analytics Capstone1 section
- 36 497 — Corporate Capstone Project1 section
- 36 498 — Corporate Capstone II1 section
- 36 620 — Advanced Methods I1 section
- 36 621 — Advanced Methods II1 section
- 36 631 — Foundations of Causal Inference1 section
- 36 632 — Modern Causal Inference1 section
- 36 700 — Probability and Mathematical Statistics1 section
- 36 711 — High Dimensional Probability and Applications1 section
- 36 712 — Introduction to mean field statistics1 section
- 36 738 — Statistical Optimal Transport I1 section
- 36 739 — Statistical Optimal Transport II1 section
- 36 768 — Advanced Theory I1 section
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