Master of Science in Finance and Data Science
Program Description
The Master of Science (MSc) in Finance and Data Science is a specialized postgraduate program that combines the principles of financial theory with advanced data science techniques. It's designed for students who want to apply computational and analytical skills to solve complex problems in the financial sector. The curriculum typically covers topics like financial modeling, machine learning, big data analytics, and computational finance. Graduates are well-prepared for high-demand roles as quantitative analysts, data scientists, and risk managers in investment banks, FinTech companies, and asset management firms.
Program Requirements
Language Requirements
| Test | Overall Score | Listening | Reading | Writing | Speaking |
|---|---|---|---|---|---|
| IELTS | 6.5 | 6.0 | 6.0 | 6.0 | 6.0 |
| PTE - A | 67.0 | 64.0 | 64.0 | 64.0 | 64.0 |
| TOEFL | 87.0 | 21.0 | 21.0 | 21.0 | 21.0 |
| Duolingo | 120.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Academic Scores
| Scale | Minimum Score Required |
|---|---|
| GPA Scale (0-4.00) | 2.70 |
Program Intakes
| September, 2026 |
|---|
| January, 2027 |
| September, 2027 |
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