MSc in Computational Social Science in La Jolla United States | University of California, San Diego

This one-year Master of Science in Computational Social Science equips students with skills to utilize causal social science approaches and computational techniques—including modeling, simulations, and data analysis—on large datasets to understand human behavior in groups, markets, and political systems. The program combines core technical training with exploration of contemporary CSS research areas, allowing students to adapt these methodologies to pressing societal issues through hands-on, project-based learning.

Participants collaborate with faculty and graduate mentors from various social science disciplines, employing tools like social network analysis, NLP, and machine learning to examine diverse topics ranging from political campaigns and misinformation to housing policy, economic disparities, and digital activism. Graduates emerge prepared for meaningful roles in policy, education, non-profits, or doctoral studies.

The program begins with an intensive summer bootcamp covering essential mathematics, programming, and analytical skills. Subsequent courses reinforce and build upon this foundation, with optional electives in specialized areas like econometrics, GIS, or visual computing. A capstone project offers practical experience applying CSS methods in professional or research contexts, resulting in a portfolio-ready deliverable. Students also attend a Research Seminar featuring talks by leading academics and industry experts, fostering connections within UCSD's CSS network and the wider field.