Artificial Intelligence for Sustainable Development MSc 12 months Postgraduate Programme By UCL |TopUniversities

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Master's

Study Mode

On Campus

This specialist MSc course combines the technical aspects of Artificial Intelligence (AI) with pressing environmental, economic, engineering 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 course 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 course where you’ll study machine learning and AI while also exploring their applications to sustainable development challenges. As a global leader in sustainability, UCL provides the ideal environment to master this critical intersection of technology and impact.


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 course, you’ll be part of the next generation of AI practitioners, ready to develop creative solutions that support global wellbeing.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Master's

Study Mode

On Campus

This specialist MSc course combines the technical aspects of Artificial Intelligence (AI) with pressing environmental, economic, engineering 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 course 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 course where you’ll study machine learning and AI while also exploring their applications to sustainable development challenges. As a global leader in sustainability, UCL provides the ideal environment to master this critical intersection of technology and impact.


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 course, you’ll be part of the next generation of AI practitioners, ready to develop creative solutions that support global wellbeing.

Admission Requirements

7+
185+
4.5+
76+
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, physical sciences, life sciences, mathematics, or engineering. Relevant work experience may also be considered. Additionally, applicants should 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.

1 Year
Sep

Tuition fees

Domestic
21,500 GBP
International
44,400 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

Health DBA arrows

Go to Programme ::type_cta_button::

Law MPhil/PhD arrows

Go to Programme ::type_cta_button::
Postgrad Programmes 365

About QS TopUniversities.com

TopUniversities.com is QS's trusted student decision platform, built on QS's globally recognised higher education expertise. It brings together the QS World University Rankings, the QS World University Rankings by Subject, trusted university insights and data, information provided by universities, career insights, scholarships, QS Events and QS TopUniversities Apply to help prospective students make higher education decisions with confidence.

QS Career Match is a part of QS TopUniversities.com, helping students connect their career ambitions with the subjects and universities that can help them get there.