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Tracks

Data and Modeling

Rochester political science has long been renowned for using theoretical and statistical models to answer questions about all aspects of political life. Training in the fundamentals of data analysis prepares students for applied courses on topics such as public polling and campaign finance. Courses in positive (or formal) theory use logical and mathematical reasoning to study obstacles to political cooperation, compromise, and efficiency.

Required Courses:

  • PSC 205 Data Analysis II (Prerequisite: PSC 200 or other statistics course)

Additional Courses:

  • PSC 107 Introduction to Positive Political Theory
  • PSC 200 Data Analysis I (Open only to students without previous statistics course)
  • PSC 227 Designing American Democracy
  • PSC 248 Discrimination
  • PSC/IR 264 Comparative Political Institutions
  • PSC/IR 270 Mechanisms of International Relations
  • PSC/IR 272 Theories of International Relations
  • PSC/IR 278 Foundations of Modern International Politics
  • PSC 281 Formal Models in Political Science
  • PSC 288 Game Theory
  • ECO 207 Intermediate Microeconomics
  • ECO 231W Econometrics
  • CSC 161 Introduction to Programming
  • CSC 171 Introduction to Computer Science
  • DMS 251 Introduction to Geographic Information Systems

Students who take PSC 287 (Theories of Political Economy) in or before the Spring 2019 semester may use this course for the track in Data and Modeling, but the course may not be used toward this track if it is taken after the Spring 2019 semester. It may be still be used toward the track in Philosophy, Law, and Public Policy and the track in Political Economy and Development.