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Stanford
Department of Political Science
School of Humanities and Sciences

Data Science Track

The Data Science track studies how we can use algorithms, statistics, and formal theory to extract knowledge from data and help predict, explain, or analyze political phenomena and behavior.

Political Science Courses

TITLE
POLISCI 55: AI as a Technology Accelerator
POLISCI 120B: Campaigns, Voting, Media, and Elections
POLISCI 127: Controversies in American Public Policy
POLISCI 141A: Immigration and Multiculturalism
POLISCI 147P: The Politics of Inequality
POLISCI 150A/355A: Data Science for Politics
POLISCI 150B/355B: Machine Learning for Social Scientists
POLISCI 150C/355C: Causal Inference for Social Science
POLISCI 151: Tackling Big Questions Using Social Data Science
POLISCI 153/354: Thinking Strategically
POLISCI 153Z: Thinking Strategically
POLISCI 154: Solving Social Problems with Data
POLISCI 156: Data Algorithms, Tools, Policy, and Society
POLISCI 157: Politics of AI 
POLISCI 158: AI Technologies for Social Applications
POLISCI 182: (formerly POLISCI 181) Ethics, Public Policy, and Technological Change
POLISCI 227C: Money in Politics
POLISCI 227F: The American Electorate in the Trump Era
POLISCI 241S: Spatial Approaches to Social Science
POLISCI 247A/347A: Games Developing Nations Play
POLISCI 251A: Introduction to Machine Learning for Social Scientists**
POLISCI 344: Politics and Geography
POLISCI 356A: Formal Theory I: Game Theory for Political Science
POLISCI 356B: Formal Theory II: Models of Politics
POLISCI 358: Data-driven Politics
**Course no longer offered
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