Computational Social Science

Korshub's take

UC Davis's Computational Social Science specialization sits at an unusual intersection: using data science and machine learning tools to study human behavior, social networks, and policy rather than business or engineering problems. With over 17,500 learners, it's a niche but well-populated program for a genuinely interdisciplinary field.

What's covered

• Machine learning and big data methods applied to social science questions
• Social network analysis and simulations for modeling social systems
• Data collection, digital analysis, and scientific methods for social research
• Computational thinking as a lens for understanding social impact and policy

Who it's for

A strong fit for social science students who want to add computational and data science skills to their toolkit, or data scientists curious about applying their methods to social, economic, and policy questions. Beginner level throughout.