The Quantitative Social Science domain emphasis provides students with expertise in various methodologies used in quantitative social science research and analysis. Topics include mathematical modeling, description of patterns and trends, statistical modeling, and testing of social scientific hypotheses.

From the lists shown below, students will select one course from the lower-division, and two courses from the upper-division. The lower division course is a required element of the Domain Emphasis.

Prerequisites shown within square brackets.

Lower Division (select one)

  • ECON 1 or 2. Introduction to Economics (4 units)
  • SOCIOL 1. Introduction to Sociology (4 units)
  • SOCIOL 3AC. Principles of Sociology: American Cultures (4 units)
  • SOCIOL 5. Evaluation of Evidence (4 units)
  • POL SCI 3. Introduction to Empirical Analysis and Quantitative Methods (4 units)
  • POL SCI 88. The Scientific Study of Politics (2 units)

Upper Division (select two)

  • DEMOG 110. Introduction to Population Analysis (3 units)
  • DEMOG/SOCIOL C126. Sex, Death, and Data (4 units) [Prerequisites: SOCIOL 1 or 3]
  • DEMOG/ECON C175. Economic Demography (4 units) [Prerequisites: ECON 1]
  • DEMOG 180. Social Networks (4 units)
  • ECON C110 / POLI SCI C135/POLI SCI W135. Game Theory in the Social Sciences (4 units)
  • ENVECON/IAS C118. Introductory Applied Econometrics (4 units)
  • MEDIAST 130. Research Methods in Media Studies (4 units) [Prerequisites: MEDIAST 10] no longer offered
  • POLSCI 132B. Machine Learning for Social Scientists (4 units) [Prerequisites: POLSCI 3, DATA C8]
  • POLSCI 132C. Algorithms, Public Policy, and Ethics (4 units)
  • POLSCI 133. Selected Topics in Quantitative Methods (4 units)
  • SOCIOL 106. Quantitative Sociological Methods (4 units) [Prerequisites: SOCIOL 5]

Unit values and prerequisites are subject to change. Please refer to guide.berkeley.edu for the most up-to-date course information.