Master of Science in Applied Data Science: Environment and Sustainability
Program Description
The Master of Science (MSc) in Applied Data Science: Environment and Sustainability at the Penryn Campus is a specialized program that applies advanced data science techniques to environmental challenges. It's designed for students who want to use computational and statistical methods to address issues in climate change, conservation, and resource management. The curriculum blends machine learning, GIS (Geographic Information Systems), and environmental modeling, preparing graduates to analyze large datasets from satellite imagery, sensors, and environmental surveys. This program prepares graduates for roles in environmental consultancies, government agencies, and sustainability-focused organizations.
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 |
| Duolingo | 120.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| TOEFL | 87.0 | 21.0 | 21.0 | 21.0 | 21.0 |
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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