Program Overview

MSc Applied Data Science (Renewable Energy)

Overview

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.

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.

Modules

Compulsory Modules

• EMGM001: Fundamentals of Data Science (30 credits)
• EMGM002: Trends in Data Science and AI (15 credits)
• EMGM003: Data Science and Modelling Dissertation (60 credits)
• EMGM004: Tackling Sustainability Challenges using Data and Models (30 credits)
• ENEM101: Renewable Energy Systems (30 credits)

Optional Modules

• Select 15 credits from:
  • ENEM009: Advanced Marine Renewable Energy (15 credits)
  • ENEM011: Advanced Wind Energy (15 credits)
  • ENEM012: Solar Energy Research and Innovation (15 credits)
  • ENEM105: Low Carbon Vehicles and Transport (15 credits)
  • EMGM006: Applied AI and Control (15 credits)
  • BEP3172: Future 17: Sustainable Development Goals Challenge (15 credits)

Fees

2025/26 Entry

• UK fees per year: £12,600 full-time
• International fees per year: £28,600 full-time

Scholarships

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.

Careers

This programme is designed for students from a variety of backgrounds who want to enhance their understanding of and confidence in using real-world data and mathematical models to address the big environmental, social, and economic issues of our time, gaining knowledge of local to global scales and tapping into/skilling-up for the “Big Data revolution” in the field and in general.

The UK has one of the world’s strongest and most developed data analytics sectors, predicted to grow by 177% over the next 5 years, and demand for qualified professionals continues to grow. The UK’s commitment to expansion of renewable energy is likely to mean a high level of investment in the sector in the next decade.

National and International Job Opportunities

Internationally, many other countries are making similar investments with major industrial nations including the US, India, and China investing heavily in renewable generation. This investment will create broad opportunities for those seeking to work in the sector, both nationally and internationally.

Employer-Valued Skills

• Data science, modelling, and essential programming skills and how to apply these to The United Nations sustainable development goals
• Ability to extract information from data as a basis for evidence-based decision making
• Working with stakeholders and advanced team-working skills in complex organisations
• Using digital media to convert complex data sets into useful information to engage with the lay public and specialists

Related Courses

• Data Science MSc
• Applied Data Science (Ecology and Evolution) MSc
• Applied Data Science and Modelling MSc
• Applied Data Science (Environment and Sustainability) MSc

Why Exeter?

• Student life
• Our campuses
• International students
• Accommodation
• Apply for a Masters
• Immigration and visas
• Tuition fees and funding

Contact

• Programme Director: Dr Markus Mueller
• Web: Enquire online
• Phone: +44 (0) NA