Overview
Our new MSc in Renewable Energy and AI is designed to bridge the gap between renewable energy engineering and artificial intelligence – two fields that are rapidly converging to transform how the world produces, manages, and optimises clean power.
This innovative online programme goes beyond theory. You will gain a practical grounding in core renewable technologies such as solar, wind, hydrogen, and energy storage while learning how data and AI are now integral to the design, operation, and monitoring of energy systems worldwide.
Working with real industry datasets, you will explore how AI methods such as machine learning, deep learning, and digital twins are applied across the renewable energy sector: from designing solar and wind farms, to fault detection, predictive maintenance, and intelligent system optimisation.
Launching in September 2026, this forward-thinking degree equips you with the skills to meet one of the biggest challenges of our time – driving the global transition to intelligent, sustainable energy.
Programme features
- Integration of AI and renewable energy engineering: this programme embeds artificial intelligence, data science, and digital modelling directly into the study of renewable energy systems
- Virtual labs: students gain direct experience through virtual labs that simulate real world systems, such as smart grid networks
- Modular block teaching: the programme is delivered in thematic blocks (e.g. solar energy, wind systems, digital infrastructure), allowing for focused, flexible learning
Key information
- Start date: September 2026
- Duration: 1 year full-time, 2 years part-time
- Delivery model: fully online
Programme leader
Dr Mahmoud Dhimish
PhD FHEA
Dr Mahmoud Dhimish is an Senior Lecturer specialising in solar photovoltaics, renewable energy systems, and artificial intelligence applications in engineering. His research focuses on integrating advanced modelling, machine learning, deep learning, and digital twin technologies - particularly for the solar energy sector - to improve performance, enable real-time fault detection, and support intelligent recycling of end-of-life solar panels. He has published over 80 peer-reviewed papers, delivered 14 invited talks, and was recognised among the top five UK scientific academics by Stanford University in 2022.
Career opportunities
This MSc opens the door to work within the clean energy and smart systems space. Career pathways include:
Renewable energy system design and engineering
Energy data analytics and forecasting
Clean transport infrastructure
Energy consultancy and project development
Grid operations and smart infrastructure planning
Sustainability and decarbonisation strategy
Research and development in intelligent energy systems
Climate-tech startups and energy AI platforms
Policy advisory roles in clean energy and infrastructure resilience
*Please note that this programme is subject to validation and the programme title may change