- The Master of Science degree in Data Analytics and Computational Social Science (DACSS) is an interdisciplinary degree program designed to train students to fill roles that require cutting-edge data analysis and computational social science training and/or involve regular interaction with trained computer scientists and other data science professionals.
- Students can follow a one-year fast track plan with the last 3 months (mid-May through mid-August) compatible with full-time work, or choose a moderately paced 18- to the 24-month path.
- 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.
Event | End Date |
Application Deadline For Spring 2024 Intake | Oct 1, 2023 |
Application Deadline For Fall 2024 Intake | Feb 15, 2024 |
Application Deadline For Summer 2024 Intake | Feb 15, 2024 |
Fees & Funding
Tution & Application Fees
Year | Year 1 | Year 2 |
Tuition Fees | $12410 | $12410 |
Total Fees | $12410 | $12410 |
Eligibility & Entry Requirement
Academic Eligibility:
- Students must hold a four year Bachelor’s Degree from a recognized university.
- An overall Undergraduate GPA of 3.2 or higher with a B or better in a quantitative course, such as Calculus I, Linear Algebra, or Introduction to Statistics is required.
- Submission of English Proficiency Test scores are required.
- Students must have to submit GMAT or GRE score.
Scores Required
100 / 120
Avg. Score in
TOEFL
640 / 800
Avg. Score in
GMAT
320 / 340
Avg. Score in
GRE
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