4+1 Accelerated Master of Science in Data Analytics and Computational Social Science
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.
With an MS in DACSS, possible career trajectories include analyst and consulting positions in public policy, market research, public relations, corporate communications, population studies, and survey research. Students will also be well prepared to pursue a PhD or other advanced graduate studies.
The 4+1 accelerated degree option allows a student to complete the requirements for a bachelor's and master's degree in less time than would be required through normal enrollment. Current UMass Amherst students are eligible to apply for the 4+1 MS in DACSS while still enrolled as an undergraduate, and transfer up to four courses (or 12 credits of 500-level or higher courses) to the MS in DACSS.
Benefits list
Curriculum
The degree curriculum has been carefully designed to prepare students for the workforce and reflects current industry standards for data science professionals. The 4+1 MS in DACSS requires satisfactory completion of 10 courses, totaling 30 credits.
Application and Admissions
Current UMass students in their junior or senior year may apply for the 4+1 MS in DACSS. Students may apply through the standard UMass Graduate School admission process.
Financial Arrangements
The 4+1 MS in Data Analytics and Computational Social Science offers a superior education at a competitive rate. 4+1 MS students spend fewer months in full-time graduate education and more rapidly join the workforce.
Data Analytics and Computational Social Science
At UMass Amherst, you can undertake intensive courses in advanced data science taught from a social science perspective.