The Master of Science in Data Analytics and Computational Social Science (MS in DACSS) is an interdisciplinary program designed to equip you with the skills to use and communicate data effectively for decision-making. You will explore a range of computational methods, including text analysis, network analysis, geocoding, agent-based simulations, and machine learning, specifically applied to social science contexts. The program offers flexibility, allowing you to tailor your studies with electives in areas like survey research, advanced statistics, econometrics, city planning, international law, and media and culture. This program prepares you for analyst or consulting roles in fields such as public policy, market research, corporate communications, and population studies. It is also suitable for those planning to pursue a PhD or further advanced graduate studies. You have the option to complete the degree through a 1-year accelerated track, with the final three months suitable for full-time employment, or to study part-time over 18-24 months. The program can be pursued on campus or online.
This career-focused program is designed to prepare graduates for analyst or consulting positions in various sectors, or for further academic pursuits.
All non-native English speakers must verify proficiency. Test scores must be less than two years old. UMass Amherst TOEFL code is 3917. Official score reports must be submitted directly from the testing agency; student copies are not accepted. The program does not accept TOEFL MyBest Scores. Paper IELTS test report forms are not accepted. An exemption may be considered for applicants who have completed two non-ESL English composition courses and several humanities/social science courses with grades of B or better at a U.S. college or university, subject to review.
The program offers a competitive rate, with an accelerated track designed for quicker entry into the workforce.
International applicants must demonstrate English proficiency with a minimum TOEFL iBT score of 80 (no sub-score below 20), an IELTS score of 6.5 overall (no sub-score below 6.0), or a Duolingo English Test (DET) score of 115. Official scores must be sent directly from the testing agency.
The program can be completed in a 1-year accelerated track or part-time over 18-24 months. The 1-year track includes a three-month period suitable for full-time employment.
The Master of Science in Data Analytics and Computational Social Science (MS in DACSS) requires the completion of 32 credits across 11 courses.
Tuition rates for both domestic and international students are available on the University's official tuition and fees page. Specific program costs are not detailed here.
Graduates are prepared for roles such as Analyst or Consultant in sectors like public policy, market research, and corporate communications. The program also suits those planning further academic study.
Yes, the program offers flexible attendance modes and can be pursued either on campus or online.