MS of Data Analytics & Computational Social Science: FAQs
The UMass Amherst Master of Science in Data Analytics and Computational Social Science (DACSS) is a career-focused program ideal for students seeking careers involving data interpretation and analysis. The degree curriculum is carefully designed to prepare you for the workforce and reflects current industry standards for data science professionals. The frequently asked questions (FAQs) below will help you learn more about the program.
What can I do with an MS in DACSS from UMass Amherst?
The MS in DACSS program prepares you for roles where you will analyze and interpret data related to societal issues. It is a great option for students seeking roles in public policy, market research, public relations, corporate communications, populations studies, or survey research. It is also a great option for students interested in pursuing a PhD or other advanced degrees.
What types of jobs can students expect after graduating?
A MS in DACSS offers pathways to many careers. You will be position to pursue roles in private- or public-sector organizations that need data analytics professionals who understand the deeper story behind the numbers. Recent graduates of the program have accepted roles as AI engineers, program managers, research scientists, and staticians, just to name a few.
The DACSS program is part of the UMass Amherst School of Public Policy, with 93% of the School's graduates securing employment within six months of graduating.
What should my academic background include?
Students in the DACSS program come from a variety of academic and professional backgrounds. Anyone who has completed an undergraduate degree from an accredited program can pursue introductory and advanced training in computational social science, although we are looking for students with a strong problem-solving mindset, a substantive background or interest in social science, strong communication skills, and a willingness to engage with mathematical and logical concepts.
We assume no prior knowledge of programming languages used in data science (e.g., R, Python, or Java), but some prior experience with programming will make it easier to keep up with weekly computer-based course assignments. We encourage all students without programming experience to consider working through an introductory programming module online, such as DataCamp's Introduction to R. One of our intro courses, DACSS 601: Fundamentals of Data Science, is designed to make sure all students in the program are well prepared for the rest of their coursework.
What is needed for the application? Do I need to take the GRE?
The GRE is not required. However, you may submit your scores if you opted to take the test.
When you submit your application through the UMass Graduate School application portal, you will need to include the following materials
- Personal Statement: Your personal statement should address why you are interested in pursuing a degree in the Data Analytics and Computational Social Science program and what makes you a good fit. Be sure to describe any relevant research or programming experience, whether obtained in the classroom or in another setting, and how the skills you develop in the DACSS program will help facilitate the path that you will take upon graduation.
- Resume or C.V.
- Most recent official college transcript
- At least two letters of recommendation: At least one of these letters should come from a current or former professor.
- Short essay response: The application will provide a prompt for a short essay. You will be required to complete the essay as part of your application package.
- TOEFL/IELTS/Duolingo: For international students without prior instruction in English, information on English proficiency will be required.
You are also welcomed to provide a GRE score and a writing sample; however, these are optional and not required to complete an application to the program.
What are the application deadlines?
Summer and fall admissions are open for both the in-person and online MS in DACSS. For summer or fall admissions, the priority application deadline is February 15, with the final deadline being April 15.
Spring admission is open for the online MS in DACSS only. The final deadline for spring admission is November 30.
How long is the program?
The MS in DACSS can be completed in as little as one year. You can follow a one-year fast track plan, with the last three months compatible with full-time work. The online and part-time programs generally take 18-24 months to complete.
Can I complete the program as a part-time student?
Yes, the online MS in DACSS is designed to be flexible for working professionals. The coursework and degree outcomes are the same for both the in-person and online MS in DACSS programs.
How do you pronounce "DACSS?"
The acronym for Data Analytics and Computational Social Science sounds like "Dax."
Who do I contact to learn more about the program?
Please complete the Connect with a Program Advisor form and we will be in touch to answer any questions you may have. We look forward to meeting you!