Artificial Intelligence for the Environment University of Exeter
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| MSc | On-Campus | Full-time | 1 years | September | find out | find out |
Course overview
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 for this course
Contact University of Exeter to find course entry requirements.
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