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MSc Applied Data Science (Renewable Energy)

MSc Applied Data Science (Renewable Energy)

Different course options

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Renewable Energy Resources Power / Energy Engineering Data Science

Course type


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.


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. The adoption of the UK’s microgeneration tariff in 2009, the Green Deal in 2013, the phased adoption of the Renewable Heat Incentive from 2011-2014 and introduction of Contracts for Difference in 2014, suggests continued strong support for rapid expansion of renewable energy in the UK.


Recent advances in science and computing technology has resulted in an explosion of available data, in fields as diverse as biology, climate, engineering, finance and medicine. This has led to the development of new data analytic methodologies, aimed at meeting the challenges associated with processing and understanding ?Big Data?. In this problem-solving oriented module, you will keep abreast of state-of-the-art data science tools and techniques. Through practical hands-on learning using locally curated and global open sourced data and sophisticated scientific computing software, you will develop skills and techniques needed to convert complex data sets into useful information. To foster understanding, effective communication is key. Therefore students will engage with contemporary data science literature, and present their findings in reports, posters, and through digital media to engage with the lay public and with specialists in their chosen science and technology area.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


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.

University information

The University of Exeter is a member of the prestigious Russell Group of top UK research universities and a member of the European University Association. The Research Excellence Framework (REF) 2021 review showed that more than 99% of the university’s research was rated of international quality and 12 of its subjects were in the top 10 for world-leading impact. The university’s business school is one of the top 1% of schools in the world to...more