Applied Data Science (Renewable Energy)

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.

Months of entry

September

Course content

• 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.

Course Content

The pressing climate crisis has awakened the world to the need for a green technology-enabled revolution. We will expose you to the contemporary research and technologies, guiding you through relevant concepts and trends in data science and modelling and modern methodologies in the fields of AI and Control.

• Term 1: students develop core skills and understanding during the modules in data science and in renewable energy.
• Term 2: students are exposed to state-of-the-art methods in the Trends in Data Science and Artificial Intelligence module, put their data science skills and renewable energy knowledge into practice by completing the interdisciplinary Tackling Sustainability Challenges using Data and Models, and can select options from a suite of Renewable Energy Engineering modules.
• Term 3: students undertake an advanced data science and modelling project

Information for international students

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.

Fees and funding

The University of Exeter has many different scholarships available to support your education, including £5 million in scholarships for international students applying to study with us in the 2025/26 academic year, such as our Exeter Excellence Scholarships*.

For more information on scholarships and other financial support, please visit our scholarships and bursaries page.