Who should apply?
Applicants with an undergraduate degree (or its equivalent) in a social science discipline are encouraged to apply. This includes (but is not limited to) disciplines like anthropology, demography, economics, geography, history, linguistics, psychology, political science, and sociology, as well as interdisciplinary social-science programs like communications, ethnic studies, gender and sexuality studies, global studies, and political economy.
We are looking for undergraduate students in their final year of study and early career professionals who are eager to learn new statistical and computing tools and techniques, and to use them to generate new insights into social data and solve real-world problems.
The application system requires you to enter 3 email addresses even though we only require 2 recommendation letters. Please put your own email address as the third option. This will prompt the system to send you an email with instructions to submit which you can ignore.
If you are applying for priority admission (Jan 8th deadline), please let your recommenders know that their letter must be received by January 8th. The email they receive from the application system only includes the second deadline (March 1st). Please note that only applications received by the priority deadline can be considered for fellowships.
Some of the information included in this statement may overlap with your traditional resume; it is fine to include it in both. Uploading a duplicate copy of your traditional resume will not fulfill this requirement.
Please include the following:
A list of no more than five (5) entries which includes your quantitative courses (mathematics, statistics, and physical-science or social-science methods), and your experience using quantitative methods in a professional environment (paid, volunteer, or internship).
For each course, please include (1) the course name, (2) the school where it was taken, (3) semester/quarter and year it was completed, (4) grade received, and (5) a short course description or summary of major concepts covered.
Your professional experience may include regular work tasks and/or substantive projects completed. Please address any analytical skills acquired (e.g., use of data-analysis software or data-visualization tools.
We value a diversity of backgrounds and accept candidates with a wide range of experiences. Work experience is not required for admission, and the committee is not looking at quantity but rather the quality, range, and substance of your experiences.
Application Review Process
We take a holistic approach to the application review process, paying attention to the demonstrated ability to overcome hardships and non-traditional educational and career paths.
The statement of purpose should convey why an applicant is interested in the MaCSS program, their interest in interpreting social data using computational methods and statistical analysis, and how this degree aligns with their professional and personal interests.
An applicant’s personal statement allows the admission committee to gain insight into who applicants are as people. Applicants can share how they’ve overcome challenges or barriers to education, their ability to work collaboratively with people from diverse backgrounds, or the implications of social data analysis on marginalized or underrepresented groups.
Open house for prospective students (zoom webinars)
Monday, November 20th
Information Session for HBCU Students & Alumni
Tuesday, December 5
MaCSS Virtual Information Session
Important admissions deadlines
Application Deadline for Fellowship Consideration
Final Application Deadline
Last Date to Accept Admission Offer