必修课程：
Statistics Core, complete all 3 courses below
- STAT 611 Statistical Models for Data Science
- STAT 612 Statistical Inference for Data Science
- STAT 613 Statistical Methods for Data Science
Computer Sciences Core, select 1 course from each category
Algorithms
- Introduction to Optimization
- Introduction to Algorithms
- Nonlinear Optimization I
Systems
- Introduction to Operating Systems
- Database Management Systems: Design and Implementation
- Introduction to Computer Networks
- Introduction to Information Security
- Distributed Systems
- Big Data Systems
- Topics in Database Management Systems
Humans and Data
- Data Visualization
- Human-Computer Interaction
Machine Learning Core, select 2 courses from the list below6
- Introduction to Artificial Intelligence
- Machine Learning
- Mathematical Foundations of Machine Learning
- Advanced Deep Learning
- Introduction to Machine Learning and Statistical Pattern Classification
- Introduction to Deep Learning and Generative Models
- Statistical Learning
选修课：
Data Science Electives, select 6 credits from the courses below
- Introduction to Optimization
- Introduction to Operating Systems
- Database Management Systems: Design and Implementation
- Introduction to Bioinformatics
- Introduction to Algorithms
- Introduction to Computer Networks
- Introduction to Information Security
- Graduate Cooperative Education
- Nonlinear Optimization I
- Advanced Operating Systems
- Distributed Systems
- Big Data Systems
- Security and Privacy for Data Science
- Topics in Database Management Systems
- Data Visualization
- Computer Vision
- Advanced Natural Language Processing
- Human-Computer Interaction
- Foundations of Data Management
- Master's Research
- Theoretical Foundations of Machine Learning
- Data and Algorithms: Ethics and Policy
- R for Statistics I and R for Statistics II and R for Statistics III
- Introduction to Time Series
- Introductory Nonparametric Statistics
- An Introduction to Sample Survey Theory and Methods
- Applied Categorical Data Analysis
- Data Science with R
- Classification and Regression Trees
- Applied Multivariate Analysis
- Financial Statistics
- Introduction to Computational Statistics
- Statistical Methods for Spatial Data
- Applied Time Series Analysis, Forecasting and Control I
- Multivariate Analysis I
- Decision Trees for Multivariate Analysis
- Statistical Computing
- Simulation Modeling and Analysis
- Stochastic Modeling Techniques
- Stochastic Programming
- Dynamic Programming and Associated Topics
- Integer Optimization
