MSc Data Science for Renewable Energy

On this dynamic MSc in Data Science for Renewable Energy, you’ll gain cutting-edge skills that place you at the forefront of this rapidly growing industry. Data science skills are highly valuable in the field of renewable energy across a wide range of areas. These include the prediction and forecasting of renewable energy resource and system performance, renewable energy data analytics, design and optimisation of renewable energy systems, and monitoring and diagnostics of renewable energy systems. Data science also plays a crucial role in energy storage and building energy management systems. The combination of specialised data science and renewable energy technical skills is highly sought after both in research and development and the renewable energy industrial sector. This interdisciplinary course will give you an excellent practical and theoretical grounding in Python programming and data mining. In parallel, you'll develop skills in engineering and technical aspects of renewable energy covering solar energy, wind energy and energy from water currents and wave motions, while using international databases and applying statistical analysis and modelling techniques. You'll acquire professional skills for data scientists, while also having the opportunity to develop further skills in Artificial Intelligence and information visualisation or more technical skills in electrical grid data analysis, energy storage, and power systems.

IELTS 6.0 overall (minimum 5.5 in each component)

International students: £25,700 per year

UK students: £12,350 per year

UK/Home: £12,350 per year

International: £25,700 per year

September 2026

Rolling admissions - apply early

• Norwich Research Park, Norwich, United Kingdom