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MSc Energy Systems and Data Analytics

  • DeadlineStudy Details: 1 year - 5 years

Top Reasons To Study

  1. The course combines advanced data science, artificial intelligence, and energy modelling skills tailored for the rapidly evolving energy transition sector.
  2. UCL’s Bartlett offers a prestigious academic environment renowned for innovation and leadership in energy systems and analytics.
  3. Students benefit from free membership to the Energy Institute, providing exclusive access to professional development, industry networks, and sector events.
  4. The program prepares graduates for diverse, high-demand careers in energy analytics, policy, consulting, and smart technology development.
  5. The course’s strong industry engagement and pursuit of full professional accreditation enhance employability and professional recognition worldwide.

Masters Degree Description

The Energy Systems and Data Analytics MSc equips you with advanced data science, artificial intelligence and energy modelling skills to address the complex challenges in the energy transition. The course prepares you for a career in energy analytics, policy, consulting, or smart technology development, where data-driven solutions and artificial intelligence are transforming energy systems.

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. 

Entry Requirements

A minimum of an upper second-class Bachelor's degree or an overseas qualification of an equivalent standard.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

Within 15 months of graduation, 97.7% of Energy Systems and Data Analytics MSc graduates were in employment or further study. Graduates from the Energy Systems and Data Analytics MSc have gone onto careers in government, consultancy, energy utilities, data and AI start-ups, and global NGOs. Typical roles include energy analyst, data scientist, systems modeller, sustainability consultant, low-carbon advisor, climate policy advisor and smart energy specialist. 

Notable employers include Octopus Energy, Deloitte, Shell, China Huadian, and Atkins, showcasing the programme’s strong interdisciplinary and industry alignment. Graduates often contribute directly to Net Zero strategies, work internationally across energy transitions, and secure roles in influential organisations shaping the future of sustainable energy. 

Module Details

Compulsory modules

  • Energy Systems (BENV0090)
  • Energy Data Analysis (BENV0091)
  • Energy Data Analytics in the Built Environment (BENV0092)
  • Spatial Analysis of Energy Data (BENV0093)
  • Statistics for Energy Analytics (BENV0094)
  • Energy and Transport Analytics (BENV0095)
  • Dissertation: Energy Systems and Data Analytics (BENV0096)
  • Advanced Machine Learning for Energy Systems (BENV0148)

Optional modules

  • Advanced Energy-Environment-Economy Modelling (BENV0014)
  • UK Energy and Environment Policy and Law (BENV0015)
  • Energy, Technology and Innovation (BENV0016)
  • Energy, People and Behaviour (BENV0017)
  • Smart Energy Systems: Theory, Practice and Implementation (BENV0044)
  • Systems Thinking and System Dynamics (BENV0047)
  • International Commodity Trade (BENV0074)
  • Mathematical Modelling Methods for the Built Environment (BENV0108)
  • Econometrics of Energy Markets (BENV0122)
  • Electricity Market Design for the Energy Transition (BENV0185)

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