Energy Systems and Data Analytics MSc provides an academically leading and industrially relevant study of energy systems through the lens of data analytics. Advanced analytics, fuelled by big data and massive computational power, has the potential to transform how energy systems are designed, operated and maintained. You will gain the skills and knowledge to unlock the transformative potential of big energy data, and understand how it can reshape the energy sector.
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, deploying machine learning and statistics and will gain practical experience of the challenges of working with different data sets relating to energy throughout the programme and modules.
For the Master of Science (MSc), students undertake modules to the value of 180 credits. For the Postgraduate Diploma (PG Dip), students undertake modules to the value of 120 credits.
The Master of Science (MSc) programme consists of six compulsory modules (90 credits), two optional modules (30 credits) and a dissertation (60 credits).
The Postgraduate Diploma (PG Dip) programme consists of five compulsory modules (75 credits) and two optional modules (45 credits). Full-time PG Dip study is nine months.
The Postgraduate Certificate (PG Cert) programme consists of two compulsory modules (30 credits) and two optional modules (30 credits). Part-time PG Cert study is nine months.
Upon successful completion of 180 credits, you will be awarded a MSc in Energy Systems and Data Analytics. Upon successful completion of 120 credits, you will be awarded a PG Dip in Energy Systems and Data Analytics. Upon successful completion of 60 credits, you will be awarded a PG Cert in Energy Systems and Data Analytics.
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.
Optional modules are subject to availability.
All Master of Science (MSc) students undertake an independent research project which culminates in a 10,000-word dissertation (60 credits).
The programme is delivered through a combination of lectures, seminars, tutorials, problem-based learning and project work. Assessment is through a combination of methods including problem sets, individual assignments and coursework, group-based data analysis assignments with a report and presentation, unseen examinations and a dissertation.
Lancaster University, Bailrigg, Lancaster, UK
October 01, 2022
Imperial College London
September 01, 2022
King’s College London
King's College Hospital, Denmark Hill, London, UK
October 01, 2022