MSc Programmes in Energy and Sustainability

The Energy and Climate Change Division are actively involved in the University of Southampton’s four MSc sustainability programmes

These programmes have been designed to equip the next generation of energy professionals with the multidisciplinary approach required to tackle climate change while improving energy supply, transport and the built environment. Our visual guide might help you choose the best pathway for your interests.

Examples of MSc global research dissertations

Examples of MSc graduate careers

Sustainable provision and use of energy is a major international challenge of the twenty-first century. The Energymasters MSc programmes at the University of Southampton have been designed to equip the next generation of energy professionals with the skills they need. We enable our students to take a interdisciplinary approach to tackle climate change whilst meeting energy demands and delivering a more sustainable built environment. See below for two modules included within the programme, for full details, please visit the programme specific pages signposted above.

MSc Energy Resources and Engineering

Members of ECCD run the Part 4 / MSc ‘Energy Resources and Engineering‘ course which deals with various aspects of electricty generation, distribution and consumption, carbon legislation and energy efficiency measures. The course aims to give the students a broad understanding of the issues from a 3 stage resource – converter – end user perspective to enable the development of engineering solutions. The course covers renewable energy systems as well as traditional power technologies.

An integral part of the assessment of this course is as a mini-conference event where students produce a poster and present their study to the group (5 minute pitch).

FEEG6025 Data Analysis (Data Science) & Experimental Methods for Civil and Environmental Engineering

Members of ECCD also run a Level 7 course which teaches the design of experimental or observational studies aimed at enabling the understanding, analyses and interpretation of data and to deliver datasets from which robust, statistically defendable conclusions can be drawn. The module takes the student through the steps of

  1. Experimental or observational study design;
  2. Data analysis and visualisation methods;
  3. Data archiving for re-use.

Engineering and energy case studies with large datasets drawing on ECCD applied research themes are used to learn how to conduct data analysis in a real world context.