Coursework

Probability & Statistics

• DS-GA 3001 Applied Statistics (Graduate)

• DS-GA 1020 / MATH-GA 2830 Mathematical Statistics (Graduate)

• DS-GA 3001 / MATH-GA 2840 Probability and Statistics 2 (Graduate)

• STAT-UB 21 / STAT-GB 3321 Introduction to Stochastic Processes (Graduate cross-listed)

• DS-UA 9201 Causal Inference

• MATH-UA 235 Probability and Statistics

• STAT-UB 3 Regression and Forecasting Model

Statistical & Machine Learning

• MATH-GA 2840 Theory of Deep Learning (Graduate)

• DS-GA 3001 Modern Topics in Statistical Learning Theory (Graduate)

• CSCI-GA 3033 / DS-GA 3001 Machine Learning for Healthcare (Graduate)

• DS-UA 301 Advanced Techniques in Machine Learning and Deep Learning

• CSCI-UA 475 Predictive Analytics

• CSCI-UA 473 Introduction to Machine Learning

Data Science

• CSCI-UA 479 Data Management and Analysis

• DS-UA 202 Responsible Data Science

• DS-UA 112 Introduction to Data Science

Mathematical & Algorithmic Foundations

• MATH-UA 325 Real Analysis

• MATH-UA 140 Linear Algebra

• MATH-UA 123 Multivariable and Vector Calculus

• MATH-UA 120 Discrete Mathematics

• CSCI-UA 310 Algorithms

• CSCI-UA 201 Computer Systems Organization

• CSCI-UA 102 Data Structures