Applied Data Science (Renewable Energy) University of Exeter

• 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.

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.

Please also see our guidance on essential documentation required for an initial decision on taught programme applications.

Entry requirements for international students

English language requirements

International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B3. Please visit our English language requirements page to view the required test scores and equivalencies from your country.