Overview
This interdisciplinary Data Science for Renewable Energy course from University of East Anglia will give you an excellent practical and theoretical grounding in Python programming and data mining. In parallel, you'll develop skills in engineering and technical aspects of renewable energy covering solar energy, wind energy and energy from water currents and wave motions, while using international databases and applying statistical analysis and modelling techniques. You'll acquire professional skills for data scientists, while also having the opportunity to develop further skills in Artificial Intelligence and information visualisation or more technical skills in electrical grid data analysis, energy storage, and power systems.
Career Pathways
Examples of careers that you could enter include:
- Renewable energy systems, design, operation & maintenance
- Energy management
- Power network
- Data scientist
- Data analyst
- Data miner
Programme Structure
Courses include:
- Professional Skills for Computer Scientists
- Python for Data Science
- Data Mining
- Solar Energy Engineering With Advanced Topics
- Fluids Engineering for Renewable Energy
- Data Science and Renewable Energy Dissertation
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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
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Credits
Delivered
Campus Location
- Norwich, United Kingdom
Disciplines
Sustainable Energy Data Science & Big Data View 158 other Masters in Sustainable Energy 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
- Bachelors degree - 2.2 or equivalent
- Degree Subject - Engineering, Computing, Mathematics, Physics, Environmental Sciences or related subject areas. Strong applicants from other backgrounds with experience relevant to Environmental Sciences, Energy Engineering or Data Science are also encouraged to apply.
Tuition Fees
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International Applies to you
Applies to you27000 GBP 1500 GBP Built-In ScholarshipNon-residents25500 GBP / year≈ 25500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents12950 GBP / year≈ 12950 GBP / year
Living costs
Norwich
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 Data Science for Renewable Energy.
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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