Overview
Firstly, you'll cover the fundamental processes and applications of subsurface geoscience and engineering. Then, you'll examine how data science, numerical methods and machine learning can help solve problems in the sector.
Key facts:
You'll have the opportunity to apply these concepts to real-world settings on a geological field trip and through an independent project in an area of your choice.
You'll also advance your programming skills in Python to solve numerical problems related to subsurface processes, and design numerical models relevant to energy technologies.
Geo-Energy with Machine Learning and Data Science at Imperial is designed to meet the needs of mathematicians or scientists keen to apply their skills to this field.
Programme Structure
Courses include:
- Numerical Programming in Python
- Data Science and Machine Learning
- Computational Mathematics
- Applying Computational/Data Science
- Deep Learning
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Deadlines:
- Round 2: 7 January
- Round 3: 11 March
- Round 4: 29 April
Language
IELTS & PTE Test Preparation
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- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Geology Data Science & Big Data Machine Learning View 29 other Masters in Geology in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- The minimum requirement is a 2:1 in a geological or physical science subject, or an engineering discipline.
- Applicants with other qualifications, and relevant professional or industrial experience, may be considered.
- A wide variety of international qualifications are accepted.
- The academic requirement above is for applicants who hold or who are working towards a UK qualification.
Tuition 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
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Scholarships Information
Below you will find Master's scholarship opportunities for Geo-Energy with Machine Learning and Data Science.
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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