Master of Science in Applied Data Science and Statistics
Program Description
The Master of Science (MSc) in Applied Data Science and Statistics is a specialized postgraduate program that combines the foundational principles of statistical theory with the practical application of data science techniques. It is designed for students with a quantitative background who want to leverage both statistical rigor and computational skills to solve complex problems. The curriculum typically covers topics such as statistical modeling, machine learning, data visualization, and computational methods. Graduates are prepared for a variety of roles in data science, business intelligence, and advanced analytics across diverse industries.
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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