Master of Science in Social Network Analysis
Program Description
A Master of Science in Social Network Analysis is a graduate program that provides the skills to analyze the structure and dynamics of social networks. The curriculum covers a range of topics, including network theory, data mining, and statistical modeling. This degree is ideal for those who want to understand how people, organizations, and information are interconnected, preparing them for careers in data science, marketing, 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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