Master of Science in Applied Data Science: Renewable Energy
Program Description
The Master of Science (MSc) in Applied Data Science: Renewable Energy at the Penryn Campus is a specialized program that applies advanced data science techniques to the challenges of the renewable energy sector. It’s designed for students who want to use computational and statistical methods to optimize energy systems, forecast production, and analyze policy. The curriculum blends machine learning, data analytics, and renewable energy technologies, preparing graduates to work with large datasets from solar panels, wind turbines, and smart grids. This program prepares graduates for roles in energy consultancies, utility companies, and technology 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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