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- MSc Data Science for Renewable Energy
Course options
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Qualification
MSc - Master of Science
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Location
University of East Anglia UEA
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Study mode
Full time
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Start date
21-SEP-26
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Duration
1 Year
Course summary
On this dynamic MSc in Data Science for Renewable Energy, you’ll gain cutting-edge skills that place you at the forefront of this rapidly growing industry. Data science skills are highly valuable in the field of renewable energy across a wide range of areas. These include the prediction and forecasting of renewable energy resource and system performance, renewable energy data analytics, design and optimisation of renewable energy systems, and monitoring and diagnostics of renewable energy systems. Data science also plays a crucial role in energy storage and building energy management systems. The combination of specialised data science and renewable energy technical skills is highly sought after both in research and development and the renewable energy industrial sector. This interdisciplinary course 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.
Application deadline
20/07/2026
Tuition fees
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£ 25,700per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
34th
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Campus address
University of East Anglia UEA, Norwich Research Park, Norwich, Norfolk, NR4 7TJ, United Kingdom
Subject rankings
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Subject ranking
36th out of 118 2
33rd out of 70 3
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Entry standards
/ Max 229129 56%42nd
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Graduate prospects
/ Max 10083.0 83%36th
4 -
Student satisfaction
/ Max 53.08 77%52nd
22 -
Entry standards
/ Max 205114 55%36th
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Graduate prospects
/ Max 10075.0 75%31st
11 -
Student satisfaction
/ Max 53.07 77%61st
16