MSc Energy Systems and Data Analytics (ESDA)

UCL (University College London)

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 and artificial intelligence (AI). During your degree you develop the expertise to: Use data science, machine learning and AI to extract insights from large and diverse 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, deep learning and predictive analytics. Work with spatial data to understand the geographic and place-based dimensions of energy systems. 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 real-world datasets and industry standard tools, preparing you for a career leading innovation in decarbonisation and smart energy systems. This course is suitable for: Those with a quantitative background who have an interest in energy and are motivated by using data science to solve sustainability problems. Those with an energy background who are interested in data science. Early and mid-career energy professionals looking to expand their data skills and domain knowledge. This programme is also available on a modular (flexible) basis, with a duration of 5 calendar years.