The Master of Science in Data Analytics and Computational Social Science (MS in DACSS) is an interdisciplinary program that will train you to effectively use and communicate data to support decision-making.

You'll study a wide range of computational methods such as text analysis, network analysis, geocoding and GIS, agent-based simulations, and machine learning for the social sciences. A variety of electives in areas such as survey research, advanced statistics, and econometrics will help hone your program to your career goals. You can also select courses in areas such as city planning, international law, and media and culture to boost your knowledge of economic, social, and political phenomena.

You can either follow a 1-year fast-track plan with the last 3 months compatible with full-time work or study part-time for 18–24 months. You can also pursue your degree on campus or online to fit your schedule.

This career-focused program is ideal for students who are seeking an analyst or consulting position in public policy, market research, public relations, corporate communications, population studies, or survey research or who are pursuing a PhD or other advanced graduate studies.