MSc Data Science for Renewable Energy at University of East Anglia

Data science is increasingly essential in studying renewable energy. It can support applications such as high-accuracy resource prediction, performance forecasting, and the analytical evaluation of complex renewable energy systems. On this MSc Data Science for Renewable Energy, you’ll gain cutting-edge skills that place you at the forefront of this rapidly growing industry.

Faculty: Faculty of Science  |  Department: School of Engineering, Mathematics and Physics  |  Duration: 1 year full-time  |  Study mode: full-time  |  Intake: Entry points: September; next start September 2027  |  Location: Norwich, England, United Kingdom

What you will study

This MSc in Data Science for Renewable Energy course is a full-time, one-year taught programme, designed for advanced students and practitioners. Compulsory modules by year: Year 1: Solar Energy Engineering with Advanced Topics, Fluids Engineering for Renewable Energy, Data Science and Renewable Energy Dissertation.

Career pathways

With an MSc in Data Science for Renewable Energy, you'll be well positioned for a broad range of data-driven, technical, analytical and consultancy roles across the renewable energy sector and the wider energy industry. You could launch a career as a: Renewable energy data scientist, Renewable energy data analyst/ consultant, Renewable energy Modeler, Grid data analyst/ smart grid analyst, Energy performance analyst, Renewable energy systems data engineer/ data analyst, Renewable energy AI/ML engineer, Process systems engineer/ data scientist.

Official programme page