Close icon

Personalise what you see on this page.

Choose from the options below. We'll show you information based on your current location as default.

I'M FROM

  • United States
Please select so we can show the most relevant content.

LIVING IN

  • United States
Please select so we can show the most relevant content.

LOOKING FOR

  • Postgraduate courses
Please select so we can show the most relevant content.
Viewing as a student from United States living in United States interested in Postgraduate courses

Artificial Intelligence for Sustainable Development MSc

UCL (University College London)

Add to favourites
UCL (University College London)

Course options

2 options available

  • Qualification

    MSc - Master of Science

  • Location

    UCL (University College London) - Bloomsbury Campus

  • Study mode

    Full time

  • Start date

    SEP

  • Duration

    1 Year

Course summary

This specialist MSc programme combines the technical aspects of Artificial Intelligence (AI) with pressing environmental and humanitarian issues. It offers you an exceptional opportunity to develop solutions for sustainable development, positioning graduates at the forefront of a rapidly growing sector. Taught at UCL Computer Science, a global leader in AI research and innovation, this programme equips you with the skills to drive impactful change. Blend technical AI training with the chance to address the UN Sustainable Development Goals (SDGs) in this unique Master's. You’ll become an AI specialist with the critical ability to apply AI for the benefit of the environment and humanity. UCL Computer Science, renowned worldwide for its role in AI breakthroughs, offers an interdisciplinary programme where you’ll study machine learning and AI while also exploring their applications to sustainable development challenges. Studying in London, recognised as the best city in the world to study AI, further enriches your learning experience. You’ll learn from subject specialists and industry experts across various fields, gaining the insights needed to apply AI beyond traditional tech roles. A key feature is the individual project, where you’ll partner with stakeholders facing sustainable development challenges. As a result, you’ll not only gain hands-on experience in AI-driven problem-solving, but you’ll also have an impact on real world issues. From life-saving drone deliveries in Rwanda to agricultural innovations in the Netherlands, AI is already transforming the world. By joining this programme, you’ll be part of the next generation of AI practitioners, ready to develop creative solutions that support global well-being. This programme is ideal for graduates from a wide variety of backgrounds, including computer science, mathematics, statistics, economics, physical sciences, life sciences, engineering or similar disciplines. It offers technical AI training and shows you how to apply it in real-world scenarios, making it particularly suitable for those passionate about using technology to contribute to sustainable development solutions. Every year, this Master’s programme also welcomes a range of experienced professionals from public servants to digital activists to social entrepreneurs.

Application deadline

28/08/2026

Tuition fees

Students living in United States
(International fees)

£ 42,700per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

UCL (University College London)

UCL (University College London)

  • University League Table

    13th

  • Campus address

    UCL (University College London) - Bloomsbury Campus, Gower Street, London, Greater London, WC1E 6BT, United Kingdom

VIEW PROFILE
UCL has over 20,000 students from outside the UK. Many tutors are world-leading academics in their field.
UCL's students come from over 150 countries, providing a truly global perspective.
UCL International Student Support and Wellbeing team provides specialist information and advice to international students.

Subject rankings

  • Subject ranking

    Computer Science

    7th out of 118 5

    10th out of 70 4

  • Entry standards

    / Max 229
    197 86%

    6th

  • Graduate prospects

    / Max 100
    93.0 93%

    8th

  • Student satisfaction

    / Max 4
    3.02 75%

    78th

    28

  • Entry standards

    / Max 205
    148 72%

    15th

  • Graduate prospects

    / Max 100
    76.0 76%

    28th

    20

  • Student satisfaction

    / Max 4
    3.25 81%

    22nd

    17

Is this page useful?

Yes No

Sorry about that...

HOW CAN WE IMPROVE IT?

SUBMIT

Thanks for your feedback!