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Computational Social Science CSS
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Master's Program Curriculum

students looking at laptopTo solve society’s most pressing problems, we need the ability to collect, organize, and make sense of data, to communicate what it tells us and to use it to drive new, informed predictions.  The Master’s program in Computational Social Science combines training in math, programming, and statistics with the core theories of social science disciplines to create new insights. 

Graduates from the program will be well-positioned to bring their knowledge, innovation, and resourcefulness to industry, government, public policy, academia, research, and education sectors. 

All M.S. students will complete 14 courses, beginning with a 10-week bootcamp which aligns annually with the University's two summer sessions, and concluding in mid-June.

Academic Plan

Summer (16 Units)

  • CSS 201S & CSS 202S: Summer Bootcamp

Fall (13 Units)

  • CSS 211 Statistical Methods for CSS (4)
  • CSS 296: Capstone (4)
  • CSS 209: CSS Colloquium (1)
  • Elective (4)

Winter (13 Units)

  • CSS 212: Advanced Methods for Computational Social Science (4)
  • CSS 296: Capstone (4)
  • CSS 209: CSS Colloquium (1)
  • Elective (4)

 Spring (13 Units)

  • CSS 206: Machine Learning for Social Sciences (4)
  • CSS 296: Capstone (4)
  • CSS 209: CSS Colloquium (1)
  • Elective (4)