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MSc - Master of Science
University of Exeter - Penryn Campus, Cornwall
Full Time
SEP-25
1 year
Select a course option
MSc - Master of Science
University of Exeter - Penryn Campus, Cornwall
Full Time
SEP-25
1 year
Select a subject
Select a an exam type
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.
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
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. 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.
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.
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.
Students living in
Domestic
£12,100 per year
Students from Domestic
This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£27,500 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£27,500 per year
Students from International
The amount you'll pay if you come to study here from a country outside the EU.
Harper Adams University