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Choose one of the following calculus sequences:

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Choose one of the following introductory statistics courses:

• STAT 180: Introduction to Applied Statistical Methodology (formerly STAT212)
• STAT 190: Introduction to Statistical Methodology (formerly STAT213 or DSCC 262)
• ECON 230: Economic Statistics
• PSCI 200: Data Analysis I

The following courses, or their equivalents, are required:

• STAT/MATH 201: Introduction to Probability
• STAT/MATH 203: Introduction to Mathematical Statistics
• STAT 216: Intermediate Statistical Methodology*

*Double majors with Economics or Business may substitute ECON 231W: Econometrics for STAT 216.

Choose two of the following:

• STAT 275(W): R Programming
• STAT 276(W): Statistical Computation in R
• STAT 277: Introduction to Statistical Software and Exploratory Data Analysis
• CSC 171: Introduction to Computer Science
• CSC 172: Data Structures and Algorithms

It is highly recommended to have at least one STAT-listed computing course for the major.

Choose two of the following:

• STAT 219: Nonparametric Inference
• STAT 221W: Sampling Techniques
• STAT 223: Bayesian Inference
• STAT 226W: Linear Models

Choose two of the following:

• STAT 215: Design and Analysis of Experiments
• STAT 217: Advanced Statistical Methodology
• STAT 218: Introduction to Categorical Data Analysis
• STAT 219: Nonparametric Inference (for students in the Class of 2026 and previous)
• DSCC 265: Introduction to Statistical Machine Learning

Choose two of the following courses:

• Any non-introductory 200-level STAT course
• MATH 202: Introduction to Stochastic Processes
• MATH 208: Operations Research I
• MATH 209: Operations Research II
• MATH 217: Mathematical Modeling in Political Science
• MATH 218: Introduction to Mathematical Modeling in the Life Sciences
• PSCI 205: Data Analysis II
• PSCI 281: Formal Models in Political Science
• PSCI 288: Game Theory
• ECON 223: Labor Markets
• ECON 224: Sports Economics
• ECON 225: Freakonomics
• ECON 233: Financial Econometrics
• ECON 237: Economics of Education
• ECON 253: Economics of Discrimination
• BIOL 235L: Computational Biology With Lab
• BCSC 236: Machine Vision
• BCSC 247: Topics in Computational Neuroscience
• CSC 242: Introduction to Artificial Intelligence
• CSC 246: Machine Learning
• CSC 249: Machine Vision
• CSC 264: Computer Audition
• CSC 282: Design and Analysis of Efficient Algorithms
• CSC 284: Advanced Algorithms
• CSC 286: Computational Complexity
• DSCC 201: Tools for Data Science
• DSCC 265: Intermediate Statistics and Computational Methods
• DSCC 275: Time Series Analysis and Forecasting in Data Science
• PHIL 212: Probability, Inference, and Decision
• PHIL 215: Intermediate Logic
• PHIL 216: Mathematical Logic
• PHIL 217: Uncertain Inference
• FIN 205: Financial Management (FIN 204 cannot be used in place of FIN 205)
• FIN 206: Investments
• MKT 212: Market Research and Analytics
• LING 250: Data Science for Linguistics
• LING 281: Statistical and Neural Computational Linguistics

Note that at least 7 of the major courses (not including pre-requisites) must be STAT-listed courses. 

The upper-level writing requirement is satisfied by completing any two of the following courses: STAT 221W, STAT 226W, STAT 275W, or STAT 276W. These courses can also count toward the Methods and Computational requirements.