Energy Systems and Data Analytics (ESDA) MSc

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.