UCL Graduate degrees


Energy Systems and Data Analytics MSc

The 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.

Covid-19 programme updates

Due to COVID-19, there may have been updates to this programme for the 2020 academic year. Where there has been an update, these are indicated with a red alert and a link which will provide further information.

Key information

Programme starts

September 2020

Modes and duration

Full time: 1 year
Part time: 2 years
Flexible: 2-5 years

Full-time students study for 37.5 hours per week during term time. Typically, lectures and seminars occur on two days per week. Part-time and Flexible students normally attend half this amount.

Application dates

All applicants
Open: 1 November 2019
Close: 11 August 2020
Close: 30 August 2020
Due to the large number of applications received, this programme is no longer accepting applications for 2020/21 entry. We apologise for any inconvenience caused. Applications for 2021/22 entry will open later in the year.

Tuition fees (2020/21)

£15,050 (FT)
£7,700 (PT)
£26,890 (FT)
£12,890 (PT)

Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website. Fees for flexible, modular study are charged pro-rata to the appropriate full-time Master's fee taken in an academic session.

Optional qualifications: This degree is also available as a PG Diploma and a PG Certificate with fees set accordingly.
Location: London, Bloomsbury

Entry requirements

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

English language requirements

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

Pre-Master's and Pre-sessional English

Further information can be found on our English language requirements page.

International students

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.

International applicants can find out the equivalent qualification for their country by selecting from the list below.

Select your country:

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. 

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.

Compulsory modules

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

Optional modules

  • Introduction to System Dynamics Modelling (15 credits)
  • Advanced Energy-Environment-Economy Modelling (15 credits)
  • Energy, Technology and Innovation (15 credits)
  • UK Energy and Environment Policy and Law (15 credits)
  • Econometrics of Energy Markets (15 credits)

Optional modules are subject to availability.

Covid-19 module updates
Due to COVID-19, there may be updates to the modules for your chosen programme of study this year. Some modules may not be available or may need to be moved to a later term or year of study. These updates are relevant for 2020-21 academic year only.  The full list of modules will be available in the module catalogue from late August.  From the first week of September, you will be invited to complete module selection from Portico, our student record system. There may need to be additional updates or changes to modules during the academic year to allow for new guidance from the UK Government and Public Health England. Your department shall keep you updated of these changes as they become available.


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

Teaching and learning

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 design tasks with a report and presentation, unseen examinations and a dissertation.

Covid-19 contact hours on campus
In Term One, while campus will be open, all the learning activity for the core content of your modules will take place online – including lectures, tutorials, seminars and assessments. By “core content” we mean everything you need to learn to complete the module successfully. In addition to these online contact hours, we will be offering some face-to-face educational activities for students on campus, and we will provide alternative online activities for those students unable to join us on campus. These activities, which will include contact with academic staff, will be relevant to your programme of study may include seminars, academic and employability skills workshops, small-group or individual tutorials, lab and practice-based teaching. UK Government safety guidelines will limit the amount of ‘in person’ activity we can offer and while it will vary from programme to programme, is likely to be no more than 1-2 hours per week. This will vary across departments, particularly if your programme includes laboratory/practical/studio/workshop sessions. You will be updated with more specific details as they are available and your timetable will indicate which sessions will be on campus and which will be available online.
Covid-19 assessment updates
There may be changes to the format of assessments for modules in this programme due to COVID-19. These will be summarised for each module on the module catalogue from 17 August 2020.   If any changes to assessments need to be made during the academic year due to updates in government guidance, these will be communicated to you as soon as possible from your department.    
Communicating further Covid-19 mitigation plans
We are continuing to follow UK Government guidance, as well as the expertise of our researchers, including specialists in health, education, human behaviour and infection prevention, to make sure UCL is as safe as possible during the COVID-19 pandemic. If it becomes necessary to make further changes to your programme as a result of new guidance/regulations, UCL and your department will communicate these as soon as this becomes clear. We will keep you up-to-date with our plans throughout term one, so you have the information you need to be able to take decisions that are right for your circumstances. Please ensure that you keep in touch with your department by regularly checking your UCL emails, Moodle courses, the Coronavirus FAQs for Students page and any UCL online groups or social media you follow.

Additional costs

If you are concerned by potential additional costs for books, equipment, etc. on this programme, please get in touch with the programme administration team by e-mailing bseer-studentqueries@ucl.ac.uk.

For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.


Details of the accessibility of UCL buildings can be obtained from AccessAble. Further information can also be obtained from the UCL Student Support & Wellbeing team.


UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Any additional funding available from the UCL Energy Institute and the Built Environment Faculty Office are advertised on the respective websites.

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.


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.


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.

Why study this degree at UCL?

The MSc in Energy Systems and Data Analytics is the first programme in the UK to combine the study of energy systems with data science. The MSc is delivered by leading researchers in the UCL Energy Institute and UCL Institute for Sustainable Resources. 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.

The UCL Energy Institute has consulted across industry to identify key skills gaps for the energy analysts that will be required by utilities, consultancies and small and medium enterprises. There is a growing 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 advanced analytics.

We are part of The Bartlett School of Environment, Energy and Resources – home to specialist institutes in energy, environment, resources and heritage. The Bartlett is the UK's largest multidisciplinary Faculty of the Built Environment, bringing together scientific and professional specialisms required to research, understand, design, construct and operate the buildings and urban environments of the future.

The QS World University Rankings (2020) places The Bartlett, as the #1 for Architecture/Built Environment studies in the UK and #3 in the World. The Bartlett’s research received the most world-leading ratings for research on the Built Environment in the UK in the most recent Research Excellence Framework.

Department: Bartlett School of Environment, Energy & Resources

Application and next steps


Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

There is an application processing fee for this programme of £80 for online applications and £105 for paper applications. Further information can be found at: www.ucl.ac.uk/prospective-students/graduate/taught/application.

Who can apply?

This programme is suitable for:

  • Those with a quantitative background who have an interest in energy and are motivated by the use of 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.

Application deadlines

All applicants
11 August 2020
30 August 2020

For more information see our Applications page.

Apply now

What are we looking for?

When we assess your application we would like to learn:

  • how your academic and professional background meets the demands of this programme
  • why you want to study this programme at graduate level
  • what particularly attracts you to this programme
  • where you would like to go professionally with your degree and how this programme might meet your goals.

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.

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Page last modified on 13 August 2020