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About this degree
Energy Systems and Data Analytics MSc is the first programme in the UK to combine the study of energy systems with data science. As a student studying this MSc you will gain a broad understanding of energy systems as a whole, covering supply and demand, the interconnectedness and dependencies between different sectors and a multi-vector multi-sector approach to analysis. You will learn about the theory and practice of data analysis, how to write code to manipulate and clean data, to extract insights, and to train models to make predictions from that data. You will gain a theoretical understanding of machine learning and statistical methods such as supervised and unsupervised learning, deep learning methods, and artificial intelligence. This will encompass the strengths and weaknesses of various approaches and the situations in which they are best suited. You will also learn how to deploy these methods and you will gain practical experience of the challenges of working with different data sets relating to energy throughout the programme and modules.
Energy systems are strongly influenced by spatial and geographic features and the course features a dedicated spatial data analysis module to train you in some of the unique aspects of doing data analysis on data with a spatial component.
Who this course is for
- Those with a quantitative background who have an interest in energy and are motivated 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.
What this course will give you
The Energy Systems and Data Analytics MSc course at UCL is designed to prepare students for the energy transition and to contribute to global net zero targets. Through interactive learning methods, real-world projects, and industry engagement, students gain the knowledge and skills needed to make informed decisions and strategies in the energy sector. This aligns with the UK's goal of achieving sustainable energy solutions and a net zero future.
We have consulted across industry to identify key skills gaps for the energy data scientists that will be required by utilities, consultancies and small and medium enterprises. There is an established need in industry for graduates who combine an understanding of energy systems with the skills and abilities to extract insights from data through the use of data science and machine learning.
Energy Systems and Data Analytics MSc is delivered by leading researchers in the UCL Energy Institute. You will benefit from their specific expertise, research communities and industry contacts (including guest lecturers drawn from the energy industry), as well as our multidisciplinary and cross-domain approach.
UCL Energy Institute is part of The Bartlett School of Environment, Energy and Resources, home to specialist sustainability-focussed institutes in UCL’s Bartlett Faculty of the Built Environment. The QS World University Rankings (2023) places The Bartlett as #1 for Built Environment studies in the world, and #1 in the UK for the ninth year in a row. The Bartlett's research received the UK's most world-leading ratings for Built Environment research in the most recent Research Excellence Framework.