Energy Systems and Data Analytics (ESDA) MSc

London, Bloomsbury

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.

UK students International students
Study mode
UK tuition fees (2022/23)
£16,500
£8,250
Programme also available on a modular (flexible) basis.
Overseas tuition fees (2022/23)
£29,400
£14,700
Programme also available on a modular (flexible) basis.
Duration
1 calendar year
2 calendar years
5 calendar years
Programme starts
September 2022
Applications accepted
All applicants: 18 Oct 2021 – 31 Mar 2022

Applications open

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: Good

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses

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

Equivalent qualifications

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. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

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. 

Who this course is for

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.

What this course will give you

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 an established 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 (2021) ranks The Bartlett, our faculty, as #1 for Architecture/Built Environment studies in the UK and #2 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.

The foundation of your career

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.

Employability

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. 

Employable skills in data science, machine learning and artificial intelligence as well as expertise in energy systems and energy consumption in the built environment and transport system.

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 data analysis assignments with a report and presentation, unseen examinations and a dissertation.

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.

Modules

Full-time

You will take eight taught modules across Term 1 and Term 2. You will complete the dissertation during Term 3 and the summer, having had preparatory tutorials during the previous terms. 

You will take six compulsory modules which will provide compulsory skills and knowledge in Energy Systems, different energy domains and data analysis. Students will choose two optional modules. Optional modules allow you to explore more advanced methods of data analysis or gain a more rounded understanding of different aspects affecting energy systems (such as law and policy).

 

Part-time

 

You will take eight taught modules across Term 1 and Term 2 over 2 years. You will complete the dissertation during Term 3 of your final year having had preparatory tutorials during the previous terms. 

You will take six compulsory modules which will provide compulsory skills and knowledge in Energy Systems, different energy domains and data analysis. Students will choose two optional modules. Optional modules allow you to explore more advanced methods of data analysis or gain a more rounded understanding of different aspects affecting energy systems (such as law and policy).

 

 

 

Flexible

 

Students have up to 5 years to complete 8 taught modules. You will complete the dissertation during Term 3 of your final year having had preparatory tutorials during the previous terms. 

You will take six compulsory modules which will provide compulsory skills and knowledge in Energy Systems, different energy domains and data analysis. Students will choose two optional modules. Optional modules allow you to explore more advanced methods of data analysis or gain a more rounded understanding of different aspects affecting energy systems (such as law and policy).

 

 

 

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 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. Upon successful completion of 180 credits, you will be awarded an 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.

Accessibility

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

Fees and funding

Fees for this course

UK students International students
Fee description Full-time Part-time
Tuition fees (2022/23) £16,500 £8,250
Tuition fees (2022/23) £29,400 £14,700

Programme also available on a modular (flexible) basis.

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

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 emailing 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.

Funding your studies

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

Additional funding available from our Institute and Faculty is advertised on UCL Energy Institute's scholarships page and The Bartlett's scholarships page.

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

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 £90 for online applications and £115 for paper applications. Further information can be found at Application fees.

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.

Please note that you may submit applications for a maximum of two graduate programmes in any application cycle.

UCL is regulated by the Office for Students.

This page was last updated 28 Sep 2021