Overview
The Intelligent Earth programme offered by University of Oxford will train a new generation of quantitative environmental data scientists to make substantial contributions in environmental and data sciences.
The course is intrinsically interdisciplinary. You will be advised by both an environmental science supervisor and an AI supervisor from two different departments, as well as a non-academic partner who also serves as host for a secondment. This course is suitable for quantitative applicants from data science, mathematical, physical and environmental science backgrounds.
Features
Key components of the teaching programme:
- Induction week
- Core courses in foundations of AI/ML and foundations of the four environmental themes
- Responsible AI training
- Computational skills training
- Advanced cross-cohort courses will focus on specific areas of AI applied to grand challenges and associated datasets from the four environmental themes
- Professional skills training
- Teaching skills training
Programme Structure
Curriculum
- Optional advanced courses
- Professional skills training modules
- Computational skills training modules
Key information
Duration
- Full-time
- 48 months
- Part-time
- 72 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Delivered
Campus Location
- Oxford, United Kingdom
Disciplines
Sustainable Development View 22 other PhDs in Sustainable Development in United KingdomWhat students do after studying
Academic requirements
English requirements
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Other requirements
General requirements
- A first-class or strong upper second-class undergraduate degree with honours
- The course aims to develop and apply AI and candidates should have strong quantitative skills. Therefore, as a minimum applicants should have maths skills equivalent to UK A-level or to have done maths as part of their course.
- Candidates will need to demonstrate a broad interest in some or all of the five Intelligent Earth themes: Climate, Biodiversity, Natural Hazards, Environmental Solutions, and Core AI Research in their personal statement and interview.
- Applicants whose previous degree was not explicitly quantitatively based should be able to demonstrate the ability to learn the necessary skills required for successful completion of the course.
Tuition Fees
-
International Applies to you
Applies to youNon-residents34700 GBP / year≈ 34700 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents10470 GBP / year≈ 10470 GBP / year
Additional Details
Part-time study:
- Home: £5,235 per year
- Overseas: £17,350 per year
Living costs
Oxford
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
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