12 monthsProgramme duration
39,600 GBPTuition Fee/year
25 Jun, 2027Application Deadline
SepStarting Month
Programme overview
Main Subject
Built Environment
Degree
MSc
Study Level
Master's
Study Mode
On Campus
To combat climate change and deliver the transition to zero carbon, we must transform how we generate and use energy. Smart energy has the power to reduce costs, increase reliability and support decarbonisation. With significant global investment in smart energy, a new generation of experts are needed to drive the transition.
UCL’s Smart Energy and the Built Environment MSc equips you with an in-depth understanding of energy supply and demand, its smart, flexible operation, and the role of the built environment. Our cutting-edge content and multidisciplinary approach aim to enable students both with and without expertise in energy and buildings to learn and develop the key skills to work in this sector.
Course highlights include:
- An integrated approach – Learn smart energy fundamentals through physical, social and data-driven methodologies in one comprehensive programme
- Real-world application – Gain hands-on experience with actual case studies from across the world and industry-relevant challenges
- Technical skills development – Master Python programming, statistical analysis, and modelling
- Explore the key principles of energy generation, including renewables, transmission, distribution and energy demand, with a focus on buildings
- Innovation in flexibility – Discover how demand response and storage enable decarbonisation while maintaining supply security
- Social science integration Investigate behavioural and structural impacts on energy transition
- Community energy solutions – Model micro-grids and examine local energy projects, including case studies
- Flexible specialisation – Pursue interests through optional modules covering energy business models, urban building modelling, developing countries and data analytics
- Workplace skills – Develop skills that employers are looking for such as programming in Python and data analytics, writing and using Generative AI responsibly
Programme overview
Main Subject
Built Environment
Degree
MSc
Study Level
Master's
Study Mode
On Campus
To combat climate change and deliver the transition to zero carbon, we must transform how we generate and use energy. Smart energy has the power to reduce costs, increase reliability and support decarbonisation. With significant global investment in smart energy, a new generation of experts are needed to drive the transition.
UCL’s Smart Energy and the Built Environment MSc equips you with an in-depth understanding of energy supply and demand, its smart, flexible operation, and the role of the built environment. Our cutting-edge content and multidisciplinary approach aim to enable students both with and without expertise in energy and buildings to learn and develop the key skills to work in this sector.
Course highlights include:
- An integrated approach – Learn smart energy fundamentals through physical, social and data-driven methodologies in one comprehensive programme
- Real-world application – Gain hands-on experience with actual case studies from across the world and industry-relevant challenges
- Technical skills development – Master Python programming, statistical analysis, and modelling
- Explore the key principles of energy generation, including renewables, transmission, distribution and energy demand, with a focus on buildings
- Innovation in flexibility – Discover how demand response and storage enable decarbonisation while maintaining supply security
- Social science integration Investigate behavioural and structural impacts on energy transition
- Community energy solutions – Model micro-grids and examine local energy projects, including case studies
- Flexible specialisation – Pursue interests through optional modules covering energy business models, urban building modelling, developing countries and data analytics
- Workplace skills – Develop skills that employers are looking for such as programming in Python and data analytics, writing and using Generative AI responsibly
Admission Requirements
Tuition fees
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