Artificial Intelligence for the Environment University of Exeter

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.

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.

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.