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MSc Energy Systems and Data Analytics (ESDA)

  • DeadlineStudy Details: 1 year - 5 years

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.

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

The Energy Systems and Data Analytics MSc is affiliated with the Energy Institute (EI) through its Learning Affiliate (LA) scheme. This provides students with free EI membership during their studies, offering access to professional development resources, industry networks, and sector events. The LA status strengthens the course’s engagement with the energy profession and supports its current pursuit of full professional accreditation by the EI.

Module Details

Compulsory modules

  •  Energy Systems
  •  Advanced Machine Learning for Energy Systems
  •  Energy Data Analysis
  •  Statistics for Energy Analytics
  •  Energy Data Analytics in the Built Environment
  •  Energy and Transport Analytics
  •  Dissertation: Energy Systems and Data Analytics
  •  Spatial Analysis of Energy Data

Optional modules

  •  UK Energy and Environment Policy and Law
  •  Energy, Technology and Innovation
  •  Systems Thinking and System Dynamics
  •  International Commodity Trade
  •  Econometrics of Energy Markets
  •  Electricity Market Design for the Energy Transition
  •  Applied Bayesian Methods

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