Master of Science in Social Research Methods and Statistics: Computational Social Science
Program Description
A Master of Science in Social Research Methods and Statistics: Computational Social Science is a graduate program that provides the skills to analyze social phenomena using computational and data-driven methods. The curriculum focuses on advanced statistical modeling, machine learning, and programming. This degree is ideal for those pursuing a PhD or a career in data science, policy analysis, and research.
Program Requirements
Language Requirements
| Test | Overall Score | Listening | Reading | Writing | Speaking |
|---|---|---|---|---|---|
| IELTS | 7.0 | 6.5 | 6.5 | 6.5 | 6.5 |
| PTE - A | 76.0 | 70.0 | 70.0 | 70.0 | 70.0 |
| TOEFL | 100.0 | 22.0 | 22.0 | 22.0 | 22.0 |
Academic Scores
| Scale | Minimum Score Required |
|---|---|
| GPA Scale (0-4.00) | 3.00 |
Program Intakes
| September, 2026 |
|---|
| January, 2027 |
| September, 2027 |
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