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.

For 2020-21 courses offered for this track, please navigate to the Current Courses page.

 

Political Science Courses

TITLE
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 153/354: Thinking Strategically
POLISCI 153Z: Thinking Strategically
POLISCI 182: (formerly POLISCI 181) Ethics, Public Policy, and Technological Change
POLISCI 227C: Money in Politics
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

Pre-Approved Courses

Course Number Course Name
COMM 106/206 Communication Research Methods
COMM 154/254 (CSRE 154T, SOC 154) The Politics of Algorithms
CS 106A
(ENGR 70A)
Programming Methodology
CS 106B
(ENGR 70B)
Programming Abstractions
CS 109 Introduction to Probability for Computer Scientists
ECON 121
(EARTHSYS 120, PUBLPOL 120/220)
Social Science Field Research Methods and Applications**
ECON 180 Honors Game Theory
OSPOXFRD 82 Politics of Inequality: Implications of Electoral Geography for Democratic Representation Quality**
STATS 101 Data Science 101
STATS 110 Statistical Methods in Engineering and the Physical Sciences
  **Course no longer offered