Artificial Intelligence for Sustainable Development MSc

London, Bloomsbury

Tackle emergent challenges through this one-of-a-kind MSc programme that brings the technical side of Artificial Intelligence (AI) together with environmental and humanitarian issues. This is an incredible opportunity to find solutions to pressing problems in sustainable development. Taught at UCL, an international home of AI breakthroughs, this programme places graduates at the heart of a rapidly growing sector.

UK students International students
Study mode
UK tuition fees (2024/25)
Overseas tuition fees (2024/25)
1 calendar year
Programme starts
September 2024
Applications accepted
Applicants who require a visa: 16 Oct 2023 – 28 Jun 2024
Applications close at 5pm UK time

Applications open

Applicants who do not require a visa: 16 Oct 2023 – 30 Aug 2024
Applications close at 5pm UK time

Applications open

Entry requirements

A minimum of an upper second-class UK Bachelor's degree (or an international qualification of an equivalent standard) in a highly quantitative subject such as computer science, mathematics, electrical engineering, or the physical sciences. Relevant work experience may also be considered. Additionally, applicants must be comfortable with undergraduate mathematics in areas such as linear algebra and calculus. Evidence should be included within the application to demonstrate suitable mathematical skills (to at least A Level Mathematics standard), analytical skills and programming experience in a procedural language.

The English language level for this programme is: Level 2

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.

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

An MSc programme that blends technical learning with an immense opportunity to address the UN Sustainable Development Goals (SDGs), this degree will enable you to become an AI specialist, with a crucial awareness of how AI can be applied to benefit the environment and humanity.

UCL Computer Science is renowned for its role in AI breakthroughs. It was part of the development of AlphaGo – the first computer programme to defeat a professional human Go player. You will join other students to study machine learning and AI technologies, while learning what technology can deliver to enable sustainable development, reduce environmental impact, and support humanity. Delivered in the heart of London, this programme enables you to learn in the AI Growth Capital of Europe.

An intrinsically multidisciplinary programme, you will learn from a variety of subject specialists and industry experts, gaining an in-depth understanding of why AI practitioners are also needed in sectors aside from big technology companies. You will work on an individual project in partnership with a stakeholder who is facing a sustainable development challenge, giving you hands-on experience of problem-solving using AI in this area.

From delivering life-saving blood by drones in Rwanda, to optimising nutritional input in agriculture to increase tomato crops in the Netherlands, AI is already delivering world-changing concepts. By joining us, you will be part of the next generation able to use technology to find creative solutions to support global wellbeing.

Who this course is for

This is a programme for new or recent graduates of computer science, mathematics, statistics, physical sciences, or a similar discipline. As well as equipping you with technical training in AI, the programme will show you how to apply it to real-world scenarios, making it particularly suitable for those who want to contribute to sustainable development solutions.

What this course will give you

UCL is ranked 9th globally in the latest World University Rankings (2024), giving you an exciting opportunity to study at one of the world’s best universities.

The Artificial Intelligence for Sustainable Development MSc is run by UCL Computer Science, a department with an outstanding reputation in the AI world. As well as being a global home of a number of AI breakthroughs, our links with United Nations Educational, Scientific and Cultural Organisation (UNESCO) and other partners from across the world, mean you can access experts and possible project opportunities in a variety of fields.

The department was also ranked first in England and second in the UK for research power in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2021). You will learn from leading academic experts at the forefront of computer science innovation.

Graduates of this programme will have gained a strong technical ability in AI, applicable to any sector. The focus on applying AI to sustainable development will give you a core understanding of the Sustainable Development Goals (SDGs) and how AI can be used to better control resources or intervene to create better sustainability solutions than are currently available.

You will also become part of the conversation on AI ethics, developing an understanding of everything from evaluating impact to the governance structures needed in the AI world.

The foundation of your career

As this is the second year the programme has run, alumni information is not yet available. However, we expect graduates of this programme will have the core skills in AI to enable them to enter a broad range of employment. The focus on sustainability will make you particularly suitable to work for an organisation specifically targeting the SDGs, or to enter the fast-accelerating movement of start-ups in sustainable development.

AI is experiencing a time of exponential growth, as it spreads into all industries and sectors. The UK Government National AI Strategy shows that the gap between the demand and supply of AI skills is significant and growing. In 2020, there was a 16% increase in online AI and data science job vacancies, yet 69% of those jobs were hard to fill. As a graduate of this MSc, you will have core skills in AI that will enable you to enter a broad range of employment.


As a graduate of the Artificial Intelligence for Sustainable Development MSc, you will bring a range of relevant skills and knowledge to future employers.

You will have gained a strong foundational knowledge of the technical aspects of AI that is critically needed by employers, from big tech companies to small start-ups. Building on this, you will have developed a creative mindset when it comes to these technologies and will have applied AI to a range of opportunities and challenges in sustainable development. Through your dissertation, you will have demonstrated your solution-focused technical abilities and competence in communicating effectively with a range of stakeholders.

With the ability to blend technological know-how with a critical mindset, and applying it to social, economic, and environmental issues, you will graduate with a set of skills that are essential in today’s world.


UCL is proud to support innovation and link our students and research directly to real-world business applications. From internships to solving complex problems with commercial partners, UCL Engineering has a collaborative, innovative spirit at its core.

As a student and later as a graduate, you will have access to a UCL Engineering careers events programme, connecting you with employers and alumni. This programme provides invaluable insight into the reality of different roles, sectors, and current application processes.

Entrepreneurial minds thrive at UCL. For example, UCL’s IDEALondon was the first innovation centre led by a university in London, and incubates companies post-seed to reach technical and business milestones. Our academic and industrial networks provide a safe and supportive environment to grow a company.

Teaching and learning

The programme is delivered through lectures, tutorials, and practical classes, with hands-on work on the application of AI. This is supplemented by self-directed learning to build up knowledge and skills, as well as individual and group projects to put learning into real-world practice. You will also be given the opportunity to work on real projects, plus benefit from learning directly from guest speakers and academics renowned in their fields.

You will be assessed through a range of methods across the programme, including individual and group projects, written research reports, other coursework, programming tests, and a final research project/dissertation. The dissertation is an opportunity for you to work on a specific topic that is of particular interest to you, supported by an academic supervisor. Many of our MSc dissertations are run in collaboration with partner organisations, including local companies, charities, and start-ups, which gives you the opportunity to work on an AI-powered solution to a real-world sustainable development challenge.

Contact time takes various forms, including lectures, seminars, tutorials, project supervisions, demonstrations, practical classes and workshops, visits, placements, office hours (where staff are available for consultation), email, videoconference, or other media, and situations where feedback on assessed work is given (one-to-one or in a group).

Each module has a credit value that indicates the total notional learning hours a learner will spend to achieve its learning outcomes. One credit is considered equal to 10 hours of notional learning, which includes all contact time, self-directed study, and assessment.

The contact time for each of your 15 credit taught modules will typically include 22-30 hours of teaching activity over the term of its delivery, with the balance then comprised of self-directed learning and working on your assessments. You will have ongoing contact with teaching staff via each module’s online discussion forum, which is typically used for discussing and clarifying concepts or assessment matters and will have the opportunity to access additional support via regular office hours with module leaders and programme directors.

Your research project/dissertation module is 60 credits and will include regular contact with your project supervisor(s), who will guide and support you throughout your project. You will dedicate most of your time on this module to carrying out research in connection with your project and writing up your final report.


The Artificial Intelligence for Sustainable Development MSc is a one-year programme.

In term 1, you will study topics including probabilistic modelling, deep learning, as well as foundations of machine learning models and sustainable development. These topics will set the foundation for the whole degree, preparing you for further topics and your research project/dissertation.

In term 2, you will get exposure to real-world applications of AI and to transparent, fair and responsible AI techniques. You will also begin preparation for your final research project/dissertation.

In term 3, you will focus on any examinations that take place in the main examination period and undertake your final research project/dissertation.

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 are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

Students undertake modules to the value of 180 credits. Upon successful completion of 180 credits, you will be awarded an MSc in Artificial Intelligence for Sustainable Development.


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

Online - Open day

Graduate Open Events: Department of Computer Science

Join us for a live online information session to hear from Computer Science staff. We will cover areas such as the general admission process, careers support, and industry links/placements. There will also be an opportunity for you to ask staff and current students any questions you may have. Two sessions will run for this event. These sessions are the same and are repeated to cater to people in different time zones.

Fees and funding

Fees for this course

UK students International students
Fee description Full-time
Tuition fees (2024/25) £19,300
Tuition fees (2024/25) £37,500

Pathways include:
for Biomedicine and Healthcare (TMSARTSBAH01)
for Sustainable Development (TMSARTSSUD01)

Additional costs

All full time students are required to pay a fee deposit of £2,000 for this programme. All part-time students are required to pay a fee deposit of £1,000.

Students will require a modern computer (PC or Mac) with minimum specifications 8GB RAM and 500GB SSD storage. A computer with the stated specifications is estimated to cost £500 or greater.

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

For more information about funding opportunities for UCL Computer Science taught postgraduate programmes, please see the department's scholarships webpage.

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

UCL East London Scholarship

Deadline: 20 June 2024
Value: Tuition fees plus £15,700 stipend ()
Criteria Based on financial need
Eligibility: UK

UCL Friends & Alumni Association scholarship for Machine Learning

Deadline: 3 June 2024
Value: $20,000 (1 year)
Criteria Based on both academic merit and financial need
Eligibility: EU, Overseas

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:

  • why you want to study Artificial Intelligence for Sustainable Development at graduate level
  • why you want to study Artificial Intelligence for Sustainable Development at UCL
  • what particularly attracts you to this programme
  • how your academic background meets the demands of this challenging programme
  • where you would like to go professionally with your degree

Together with essential academic requirements, the personal statement is your opportunity to elaborate on your reasons for applying to this programme and how your interests match what the programme will deliver.

Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2024-2025

Got questions? Get in touch

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