STSCI courses
102 courses · Cornell University · Fall 2026
- STSCI 1380 — Data Science for All1 section
- STSCI 2000 — Essential Statistics and Data Science1 section
- STSCI 2100 — Introductory Statistics and Data Science1 section
- STSCI 2110 — Statistical Methods for the Social Sciences II1 section
- STSCI 2120 — R Programming for Data Science1 section
- STSCI 2130 — Applied Regression Analysis1 section
- STSCI 2150 — Introductory Statistics for Biology1 section
- STSCI 2200 — Statistics I1 section
- STSCI 2220 — R Programming for Data Science II1 section
- STSCI 3040 — R Programming for Data Science1 section
- STSCI 3080 — Probability Models and Inference1 section
- STSCI 3090 — Financial Math for Actuarial Science1 section
- STSCI 3100 — Statistical Sampling1 section
- STSCI 3110 — Applied Probability and Statistics1 section
- STSCI 3200 — Statistics II1 section
- STSCI 3510 — Stochastic Processes for Decision-Making1 section
- STSCI 3600 — Integrated Ethics in Data Science1 section
- STSCI 3740 — Data Mining and Machine Learning1 section
- STSCI 3900 — Causal Inference1 section
- STSCI 4030 — Linear Models with Matrices1 section
- STSCI 4050 — Modern Regression Models for Data Science1 section
- STSCI 4060 — Python Programming and its Applications in Statistics1 section
- STSCI 4090 — Theory of Statistics1 section
- STSCI 4100 — Multivariate Analysis1 section
- STSCI 4110 — Categorical Data1 section
- STSCI 4140 — Applied Design1 section
- STSCI 4270 — Introduction to Survival Analysis and Loss Models1 section
- STSCI 4520 — Statistical Computing1 section
- STSCI 4550 — Applied Time Series Analysis1 section
- STSCI 4610 — Data Science in Risk Modeling1 section
- STSCI 4630 — Operations Research Tools for Financial Engineering1 section
- STSCI 4720 — Applied Neural Networks1 section
- STSCI 4725 — Data Analysis with Tree-Based Methods1 section
- STSCI 4750 — Understanding Machine Learning1 section
- STSCI 4780 — Bayesian Data Analysis: Principles and Practice1 section
- STSCI 4850 — Data Science Consulting1 section
- STSCI 4881 — Sports Analytics1 section
- STSCI 4950 — Statistical Consulting1 section
- STSCI 4970 — Undergraduate Supervised Teaching1 section
- STSCI 4980 — Tutorial in Actuarial Statistics1 section
- STSCI 4981 — Sports Analytics in Practice1 section
- STSCI 4990 — Undergraduate Individual Study in Statistics1 section
- STSCI 4995 — Internship in Data Science1 section
- STSCI 4999 — Undergraduate Dissertation Research1 section
- STSCI 5010 — Applied Statistical Computation with SAS1 section
- STSCI 5030 — Linear Models with Matrices1 section
- STSCI 5040 — R Programming for Data Science1 section
- STSCI 5045 — Python Programming and its Applications in Statistics1 section
- STSCI 5050 — Modern Regression Models for Data Science1 section
- STSCI 5060 — Database Management and SAS High Performance Computing with DBMS1 section
- STSCI 5065 — Big Data Management and Analysis1 section
- STSCI 5080 — Probability Models and Inference1 section
- STSCI 5090 — Theory of Statistics1 section
- STSCI 5100 — Statistical Sampling1 section
- STSCI 5110 — Statistical Methods for the Social Sciences II1 section
- STSCI 5111 — Multivariate Analysis1 section
- STSCI 5120 — R Programming for Data Science1 section
- STSCI 5140 — Applied Design1 section
- STSCI 5150 — Introductory Statistics for Biology1 section
- STSCI 5160 — Categorical Data1 section
- STSCI 5200 — Statistics I1 section
- STSCI 5201 — Statistics II1 section
- STSCI 5220 — R Programming for Data Sci II1 section
- STSCI 5270 — Introduction to Survival Analysis and Loss Models1 section
- STSCI 5520 — Statistical Computing1 section
- STSCI 5550 — Applied Time Series Analysis1 section
- STSCI 5600 — Integrated Ethics in Data Science1 section
- STSCI 5610 — Data Science in Risk Modeling1 section
- STSCI 5630 — Operations Research Tools for Financial Engineering1 section
- STSCI 5640 — Statistics for Financial Engineering1 section
- STSCI 5720 — Applied Neural Networks1 section
- STSCI 5725 — Data Analysis with Tree-Based Methods1 section
- STSCI 5740 — Data Mining and Machine Learning1 section
- STSCI 5750 — Understanding Machine Learning1 section
- STSCI 5780 — Bayesian Data Analysis: Principles and Practice1 section
- STSCI 5881 — Sports Analytics1 section
- STSCI 5953 — MPS Career Management1 section
- STSCI 5954 — Project Development and Professional Communication1 section
- STSCI 5955 — Realtime Project Management1 section
- STSCI 5980 — Tutorial in Actuarial Statistics1 section
- STSCI 5981 — Sports Analytics in Practice1 section
- STSCI 5990 — Directed Studies in Applied Statistics1 section
- STSCI 5995 — Internship in Data Science1 section
- STSCI 5999 — Applied Statistics MPS Data Analysis Project1 section
- STSCI 6010 — Statistical Methods I1 section
- STSCI 6020 — Statistical Methods II1 section
- STSCI 6520 — Statistical Computing I1 section
- STSCI 6521 — Statistical Computing II1 section
- STSCI 6610 — Spatial and Spatial-Temporal Data Analysis1 section
- STSCI 6730 — Mathematical Statistics I1 section
- STSCI 6740 — Mathematical Statistics II1 section
- STSCI 6750 — Probability II for Statistics1 section
- STSCI 6780 — Bayesian Statistics and Data Analysis1 section
- STSCI 6840 — Mathematics of Statistical Learning1 section
- STSCI 6940 — Graduate Special Topics in Statistics1 section
- STSCI 6970 — Individual Graduate Study in Statistics1 section
- STSCI 7170 — Theory of Linear Models1 section
- STSCI 7180 — Generalized Linear Models1 section
- STSCI 7950 — Statistical Consulting1 section
- STSCI 7951 — Advanced Statistical Consulting1 section
- STSCI 7999 — Graduate Level Dissertation Research1 section
- STSCI 9999 — Doctoral Level Dissertation Research1 section
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