Applied Data Science (Renewable Energy) (Taught)

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Course 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

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

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.