University of Exeter
Northcote House
The Queen's Drive
Exeter
EX4 4QJ
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Course contact details
Faculty of Environment, Science and Economy Enquiries
Email:ESEEnquiries@exeter.ac.uk
Phone:+44 (0)1392 727272
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Applied Data Science (Renewable Energy) (Taught)
- MS
- 1 Years
- Full-time
- 09/2025
- Postgraduate
- University of Exeter - Penryn Campus, Cornwall
Course summary
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Become immersed in the ‘Big Data revolution’ and develop state-of-the-art data science and AI skills alongside expertise in emerging renewable technologies
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Based at our stunning Penryn Campus in Cornwall this interdisciplinary programme is run jointly between the departments of Mathematics and Renewable Engineering
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Designed in collaboration with internationally renowned researchers and industrial partners you will benefit from research-led teaching, practical examples and hands-on activities
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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
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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
Modules
For a full list of compulsory and optional modules please visit our course page.
Assessment method
Please visit our course page for current assessment methods.
How to apply
International applicants
Our International Student Support can help you with what you need to do before you arrive and when you get here as a new international student. They offer ongoing support throughout your studies whether that be setting up a bank account or arranging healthcare. Our Global Chums Buddy Scheme and our Intercultural Cafe provide opportunities to meet staff and connect with students. INTO University of Exeter provide pre-sessional English courses for international students as well as free insessional support.
For more information about entry requirements, bursaries and scholarships and how to apply please visit our course page.
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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.
Additional fee information
In addition to tuition fees and living costs, your programme of study may have other costs associated with it, such as laboratory equipment or field trips. For more information about fees and additional costs please visit our course page.
Sponsorship information
We invest heavily in scholarships for talented prospective Masters students. This is in addition to the UK Government’s Postgraduate Loan Scheme. For information on how you can fund your postgraduate degree at the University of Exeter, please visit our course page.
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