Course summary

About this course One of the major challenges we face today is transitioning to clean and sustainable energy sources that will help tackle climate change. This programme combines cutting-edge digital techniques with expert knowledge to address the global challenge of sustainable energy. Students will develop advanced skills and knowledge that prepare them for innovative professional practice or doctoral-level study. Introduction Chemistry is crucial to many technologies that reduce carbon emissions and support the shift to low-carbon energy. Chemists play a crucial role in driving innovation in areas such as batteries and energy storage, fuel cells, renewable energy, nuclear power, hydrogen, and carbon capture. AI can help speed up the discovery of new energy systems more efficiently. Whilst studying this programme you will benefit from the expertise of the Stephenson Institute for Renewable Energy, a leading research institute in energy materials, aiming to transform the future of energy generation, storage, transmission and energy efficiency. You’ll gain exclusive access to the £81M Materials Innovation Factory – a world-class centre for AI-driven chemistry, automation, and robotics. Hands-on learning takes place in the Central Teaching Laboratory, where state-of-the-art facilities support teaching in chemistry lab automation – from building simulation environments to programming robots for real experiments. The programme fosters strong industry connections, enabling students to build professional networks and gain real-world insights. Learning is strengthened through authentic assessments that mirror workplace scenarios, ensuring graduates develop practical, industry-relevant skills. Choose this exciting new MSc and be at the frontier of the future of clean energy. Who is this course for? This programme is designed for UK BSc (Hons) Chemistry, Chemical Engineering, or Chemistry-related degree graduates. What you'll learn Students will learn how to demonstrate knowledge and understanding of programming and data analysis to apply in the field of chemistry and sustainable energy.