Undergraduate Program OverviewMajor Toggle Major Major AdvisingMinorCapstone Toggle Capstone Capstone AbstractsTracks Toggle Tracks Data Science TrackElections, Representation, and Governance TrackInternational Relations TrackJustice and Law TrackPolitical Economy and Development TrackPre-Approved CoursesHonorsHow to DeclarePeer AdvisingSummer Research College (SRC)Alumni Toggle Alumni Past Featured AlumniForms Main content start 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 CoursesTITLEPOLISCI 120B: Campaigns, Voting, Media, and ElectionsPOLISCI 127: Controversies in American Public PolicyPOLISCI 141A: Immigration and MulticulturalismPOLISCI 147P: The Politics of InequalityPOLISCI 150A/355A: Data Science for PoliticsPOLISCI 150B/355B: Machine Learning for Social ScientistsPOLISCI 150C/355C: Causal Inference for Social SciencePOLISCI 151: Tackling Big Questions Using Social Data SciencePOLISCI 153/354: Thinking StrategicallyPOLISCI 153Z: Thinking StrategicallyPOLISCI 154: Solving Social Problems with DataPOLISCI 156: Data Algorithms, Tools, Policy, and SocietyPOLISCI 158: AI Technologies for Social ApplicationsPOLISCI 182: (formerly POLISCI 181) Ethics, Public Policy, and Technological ChangePOLISCI 227C: Money in PoliticsPOLISCI 227F: The American Electorate in the Trump EraPOLISCI 241S: Spatial Approaches to Social SciencePOLISCI 247A/347A: Games Developing Nations PlayPOLISCI 251A: Introduction to Machine Learning for Social Scientists**POLISCI 344: Politics and GeographyPOLISCI 356A: Formal Theory I: Game Theory for Political SciencePOLISCI 356B: Formal Theory II: Models of PoliticsPOLISCI 358: Data-driven Politics**Course no longer offered Back to Top