The University of Massachusetts Amherst

How to Apply

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Application Process

The Data Analytics and Computational Social Science (DACSS) program at the University of Massachusetts Amherst accepts applications per the deadlines below for the on-campus M.S. 

Additionally, we accept applications for an online M.S. offered through University Without Walls throughout the year (deadlines dependent on the preferred start date).

Please apply through the UMass Amherst Graduate School. Be sure to indicate which program you are applying to, and which term you plan to start the degree. Please be careful to select Data Analytics and Computational Social Science, as there are other data analytics programs on campus.


Programs of StudyOffered Priority DeadlineFinal DeadlineStart Date
M.S. DACSSIn-Person

January 1

February 15

Summer (Late May)  or Fall (September) - please be sure to indicate your choice on the application 

M.S. DACSSIn-PersonOctober 1November 15Spring
M.S. DACSSOnlineJune 1
October 1
February 1
July 15
November 15
March 15
Graduate CertificateOnlineLet us knowFlexible 
Graduate courseworkOnlineRegister through UWWFebruary 1 

*Please contact us if you missed the deadline, as some spaces may become available.

After you apply

Students will ordinarily receive a decision from the Graduate School within a month of the relevant application deadline. For the summer and fall in-person M.S., please respond to the Graduate School by APRIL 15 (March 1 for Priority Deadline applicants) to indicate whether or not you plan to matriculate. If you have not responded by April 15, we will assume you do not plan to attend and may offer your spot to someone on the waitlist. Written requests for extensions to this deadline will be considered on a case-by-case basis.  

Application Requirements

When you submit your application through the UMass Graduate School application portal, you will need to include the following materials:

Personal statement - This should address why you are interested in pursuing a degree in computational social science and describe what makes you a good fit for our program. Please be sure to describe any relevant research or programming experience, whether obtained in the classroom or in some other setting.

Resume or C.V.

Most recent official college transcript

Two Letters of Recommendation - Two recommendations are required (but you may submit a third if you feel it would provide another perspective). Include at least one current or former professor. Submit only the names of the recommenders; we will send an email to each referee with instructions on how to electronically deliver the recommendation to the Graduate School. All recommendations will be considered non-confidential unless the applicant waives their right of access.

TOEFL/IELTS - Results for international students without prior instruction in English.

GRE (optional, not required)

Writing sample (optional)