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University of Exeter: Applied Data Science (Renewable Energy)
| Institution | University of Exeter |
|---|---|
| Department | Mathematics and Statistics |
| Web | https://www.exeter.ac.uk |
| ESEEnquiries@exeter.ac.uk | |
| Telephone | +44 (0)1392 727272 |
| Study type | Taught |
MSc
Summary
- Become immersed in the ‘Big Data revolution’ and develop state-of-the-art data science and AI skills alongside expertise in emerging renewable technologies
- Based at our stunning Penryn Campus in Cornwall this interdisciplinary programme is run jointly between the departments of Mathematics and Renewable Engineering
- Designed in collaboration with internationally renowned researchers and industrial partners you will benefit from research-led teaching, practical examples and hands-on activities
- Develop sought-after, discipline-transcending skills and utilise these through use of modern scientific computing software and a new state-of-the-art Renewable Engineering Facility
- Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors, specifically within renewable technologies.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good degree (normally a 2:2). Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme, or possess relevant professional experience. Prior experience of coding is not necessary on this course. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Penryn Campus, Cornwall Penryn Campus Penryn Cornwall TR10 9FE |
Summary
- Become immersed in the ‘Big Data revolution’ and develop state-of-the-art data science and AI skills alongside expertise in emerging renewable technologies
- Based at our stunning Penryn Campus in Cornwall this interdisciplinary programme is run jointly between the departments of Mathematics and Renewable Engineering
- Designed in collaboration with internationally renowned researchers and industrial partners you will benefit from research-led teaching, practical examples and hands-on activities
- Develop sought-after, discipline-transcending skills and utilise these through use of modern scientific computing software and a new state-of-the-art Renewable Engineering Facility
- Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors, specifically within renewable technologies.
- To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A good degree (normally a 2:2). Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme, or possess relevant professional experience. Prior experience of coding is not necessary on this course. For full details, including English language requirements and international equivalencies, please visit our course page. |
| Location | University of Exeter - Penryn Campus, Cornwall Penryn Campus Penryn Cornwall TR10 9FE |
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