Study MPhil/PhD Environmental Intelligence at University of Exeter in the UK, Climate Change

About this course

About this course
- Overview
- Department
Study options
Entry requirements
- International

What will I learn?

The PhD in Environmental Intelligence programme is delivered by the UKRI Centre for Doctoral Training in Environmental Intelligence (CDT EI). The programme pioneers new research in using Data Science and Artificial Intelligence to understand the complex interactions between the environment, climate, natural ecosystems, human social and economic systems, and health.The increasing availability of large and complex data sets from diverse sources (e.g. environmental monitoring satellite remote sensing climate modelling electronic medical records social media and contributions from citizen science) presents an exceptional opportunity to transform our understanding of both the effects of environmental change and our planet-transforming power.The programme is led by Professor Gavin Shaddick and a team of world-leading researchers, and students will have the opportunity to engage with over 250 researchers at Exeter working in Data Science, AI, and environmental and sustainability research.

Which department am I in?

Climate Change

Study options

Full Time (4 Years)

Tuition fees

£26,500.00 (US$ 34,223) per year

This is a provisional fee yet to be approved

*Price shown is for indicative purposes, please check with institution

Application deadline

Expected August 2027

Start date

January 2027

Venue

Streatham Campus, Exeter

Northcote House,

Exeter,

Devon,

EX4 4QJ, Southern England, United Kingdom

Full Time (4 Years)

Tuition fees

£26,500.00 (US$ 34,223) per year

This is a provisional fee yet to be approved

*Price shown is for indicative purposes, please check with institution

Application deadline

Expected June 2027

Start date

September 2026

Venue

Streatham Campus, Exeter

Northcote House,

Exeter,

Devon,

EX4 4QJ, Southern England, United Kingdom

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Entry requirements

For international students

We welcome applications from those who are expected to receive, a 1st class or 2:1 undergraduate degree in a wide variety of subjects relevant to the application of Data Science and AI to environmental challenges.

*There may be different IELTS requirements depending on your chosen course.