Overview
The Renewable Energy with AI and Data Science - Geology and Geophysics programme offered by Imperial is suitable for those from a geoscience, physical science or engineering background looking to advance their computer science skills applied to renewable energy problems. This also includes those in industry looking to transition to the renewables sector.
This course is part of the Ada Lovelace Academy, an initiative from the Department of Earth Science and Engineering aiming to deliver gender-balanced post-graduate education in computational subjects to solve the science and engineering challenges of the 21st century.
Key Facts
You’ll gain exposure to geophysical surveying equipment, and get hands-on experience with real-world data. You’ll also have the opportunity to work on real-world problems through an independent project in an area of your choice.
Exposure to industry will be provided through guest lectures, seminars and the option to conduct your independent project in an industry placement.
Get more details
Visit programme websiteProgramme Structure
Courses Include:
- Numerical Programming in Python
- Data Science and Machine Learning
- Computational Mathematics
- Applying Computational/Data Science
- Deep Learning
- Subsurface Renewable Energy Technologies
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Deadlines:
- Round 2: 7 January
- Round 3: 11 March
- Round 4: 29 April
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Environmental Sciences Artificial Intelligence View 380 other Masters in Artificial Intelligence in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 2:1 in any geological or physical science or engineering subject.
- They also accept a wide variety of international qualifications.
- The academic requirement above is for applicants who hold or who are working towards a UK qualification.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents46000 GBP / year≈ 46000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents24600 GBP / year≈ 24600 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Renewable Energy with AI and Data Science - Geology and Geophysics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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