Artificial Intelligence for the Environment

Entry requirements

Applicants are required to have at least a 2:1 degree in a non-related science undergraduate degree, or a 2:1 in any other degree subject and A Level Mathematics at Grade A or equivalent.

Please also see our guidance on essential documentation required for an initial decision on taught programme applications.

Months of entry

September

Course content

Overview

• Study AI, machine learning, geospatial analysis and environmental data science, with pathways to apply skills to climate, sustainability and urban challenges.
• Access to advanced computing labs, geospatial tools, and over 1.2 million digital and print library resources.
• Join a diverse global community of researchers, academics and students tackling UN Sustainable Development Goals through interdisciplinary collaboration.
• Prepare for careers as an Environmental AI Specialist, Climate Data Scientist, or Smart Cities Analyst, with growing demand across industries worldwide.
• Gain hands-on experience working with real environmental datasets and complete a final project addressing pressing global sustainability challenges.
• Engage with the activities offered by the Centre for Environmental Intelligence and learn from researchers across many disciplines.
• Opportunity to undertake a research project with external partner organisations of the Centre for Environmental Intelligence, including Met Office, Plymouth Marine Lab, Natural England, National Trust, Ordnance Survey, and more.

Course content

The MSc Artificial Intelligence for the Environment combines advanced technical training with real-world environmental applications. You will study core AI methods including machine learning, statistical modelling, geospatial AI, and environmental data science, building the expertise to analyse and interpret complex datasets. Specialist modules explore topics such as remote sensing imagery, uncertainty quantification, and probabilistic forecasting, equipping you with skills directly relevant to global sustainability challenges.

Throughout the programme, you will apply AI techniques to pressing environmental issues, including climate change prediction, sustainable urban development, and resource management. Hands-on learning is central, with opportunities to work directly with diverse datasets ranging from satellite imagery to human mobility patterns. Your final project allows you to collaborate with researchers on real environmental problems, giving you valuable research experience and industry-relevant outcomes. This unique interdisciplinary approach ensures you graduate prepared to lead in the growing field of AI-driven environmental solutions.

Information for international students

English language requirements

International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B3. Please visit our English language requirements page to view the required test scores and equivalencies from your country.

Fees and funding

Scholarships

The University of Exeter offers a wide range of scholarships to support your education, with £7 million available for international students applying to study with us in the 2026/27 academic year, including our prestigious Exeter Excellence Scholarships *. We also provide awards for sport, music and other achievements, as well as regional and partner scholarships with organisations such as Chevening, The Beacon Trust and the British Council. For more information on scholarships and other financial support, please visit our scholarships and bursaries page.

University of Exeter Alumni Scholarship

We are pleased to offer University of Exeter alumni beginning a standalone postgraduate programme in 2026/27 with us a scholarship towards the cost of your tuition fees. Full details can be found here.

*Terms and conditions, including deadlines, apply. See our website for details..