Description

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.

About this degree

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.

Study Details:

MSc Full-time: 1 year Part-time: 2 years Flexible: 2-5 years Options: PG Dip, PG Cert

Module Details:

Compulsory modules

  • Energy Data Analysis (15 credits)
  • Energy Systems (15 credits)
  • Spatial Analysis of Energy Data (15 credits)
  • Statistics for Energy Analysis (15 credits)
  • Energy Analytics in the Built Environment (15 credits)
  • Energy and Transport Analytics (15 credits)

Optional modules

  • UK Energy and environment Policy and Law (15 credits)
  • Energy, Technology and Innovation (15 credits)
  • Systems Thinking and System Dynamics (15 credits)
  • Econometrics of Energy Markets (15 credits)

Optional modules are subject to availability.

Dissertation/report

All Master of Science (MSc) students undertake an independent research project whch culminates in a 10,000-word dissertation (60 credits).

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.

For further and the most up-to-date information about the programme structure please visit the UCL Prospectus website.

Student Destinations

Graduates will be ideally placed to gain employment as energy analysts/data scientists in consultancies, utilities, innovative start-ups and government institutions which value expertise in energy systems and have a need for data literate analysts.

Graduates from our first cohort in 2019 gained employment in a number of different sectors from large scale consultancies like Deloitte to innovative energy startups like Limejump, Statera and Kiwi Power. Two of our students went on to found companies: Modo Energy, an Energy Data Science company; and Treebeard Technologies, a digital technologies company.

Employability

There is a strong emphasis placed on innovation throughout the programme. Students will also benefit from a skill set in data analytics that will be highly transferable and applicable across a range of industries and domains.

The programme has been developed with input from industry leaders. You will gain exposure to real life energy and sustainability challenges.

Fees

For fees and funding options, please visit website to find out more

Entry Requirements

A minimum of an upper second-class Bachelor’s degree or an overseas qualification of an equivalent standard.

International equivalent qualifications are considered, they can be found by selecting the relevant country from a drop down list in the entry requirements section of each programme page in the UCL Graduate Prospectus.

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.

The English language level for this programme is: Standard

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Key Information

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University Hub

University College London – The Bartlett

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