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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.
Months of entry
- 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.
Information for international students
Overall score 6.5. No less than 6.0 in any section.
Overall score 90 with minimum scores of 21 for writing, 21 for listening, 22 for reading and 23 for speaking.
58 with no less than 55 in all communicative skills.
Fees and funding
The University of Exeter is offering scholarships to the value of over £4 million for students starting with us in September 2021. Details of scholarships, including our Global Excellence scholarships and GREAT scholarships (British Council and the GREAT Britain Campaign) for international fee paying students, can be found on our dedicated funding page.
Qualification, course duration and attendance options
- full time12 months
- Distance learningis available for this qualification
Course contact details
- Dr Markus Mueller
- +44 (0) 1392 724061