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
Designed in collaboration with industry, the Energy Systems and Data Analytics MSc equips you with the advanced skills needed to support net zero goals, combining technical knowledge of energy systems with expertise in data science, artificial intelligence (AI), advanced machine learning and deep learning.
During your degree, you develop the expertise to:
- Use data science, machine learning and AI to extract insights from large and diverse datasets, including energy demand, electricity prices, weather and climate data, building energy data and spatial/GIS datasets.
- Analyse complex energy systems, including supply, demand, sector interdependencies and infrastructure planning.
- Apply modelling tools to support decarbonisation, smart grid optimisation and low-carbon transitions.
- Evaluate and deploy methods in supervised and unsupervised learning, advanced machine learning, deep learning and predictive analytics, using tools such as Python and machine learning libraries.
- Work with spatial data and spatial analysis methods to understand the geographic and place-based dimensions of energy systems, including applications in electric vehicles, the built environment and low-carbon infrastructure planning.
This multidisciplinary course responds to the growing need for energy professionals who can turn complex data into insight and action. Throughout the degree, you gain hands-on experience working with sector-relevant datasets, analytical tools and applied case studies in areas such as energy forecasting, smart energy systems, electric vehicles, the built environment, decarbonisation pathways and low-carbon infrastructure planning, preparing you to contribute to innovation in decarbonisation and smart energy systems.
Programme overview
Main Subject
Built Environment
Degree
MSc
Study Level
Master's
Study Mode
On Campus
Designed in collaboration with industry, the Energy Systems and Data Analytics MSc equips you with the advanced skills needed to support net zero goals, combining technical knowledge of energy systems with expertise in data science, artificial intelligence (AI), advanced machine learning and deep learning.
During your degree, you develop the expertise to:
- Use data science, machine learning and AI to extract insights from large and diverse datasets, including energy demand, electricity prices, weather and climate data, building energy data and spatial/GIS datasets.
- Analyse complex energy systems, including supply, demand, sector interdependencies and infrastructure planning.
- Apply modelling tools to support decarbonisation, smart grid optimisation and low-carbon transitions.
- Evaluate and deploy methods in supervised and unsupervised learning, advanced machine learning, deep learning and predictive analytics, using tools such as Python and machine learning libraries.
- Work with spatial data and spatial analysis methods to understand the geographic and place-based dimensions of energy systems, including applications in electric vehicles, the built environment and low-carbon infrastructure planning.
This multidisciplinary course responds to the growing need for energy professionals who can turn complex data into insight and action. Throughout the degree, you gain hands-on experience working with sector-relevant datasets, analytical tools and applied case studies in areas such as energy forecasting, smart energy systems, electric vehicles, the built environment, decarbonisation pathways and low-carbon infrastructure planning, preparing you to contribute to innovation in decarbonisation and smart energy systems.
Admission Requirements
Tuition fees
Domestic
International
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