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.

Careers

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.

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.