$46,978 /Yr
On-campus
full_time
Master of Science [M.S] Data Analytics and Computational Social Science
- 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.
Tution & Application Fees
| Year | Year 1 | Year 2 |
| Tuition Fees | $46978 | $46978 |
| Total Fees | $46978 | $46978 |
Examinations
| Exam Type | Exam Name | Score | Out of Score | Exam Level |
|---|---|---|---|---|
| IELTS | International English Language Testing System | 7 | 9 | 3 |
| TOEFL | Test of English as a Foreign Language | 100 | 120 | 3 |
| PTE | Pearson Test of English | 68 | 90 | 3 |
| GMAT | Graduate Management Admission Test | 640 | 800 | 2 |
| GRE | Graduate Record Examination | 320 | 340 | 2 |
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.