Course summary
Overview 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. Studying at UEA places you at the heart of a booming renewable energy sector, surrounded by a diverse range of engineering companies. You’ll benefit from these industry links from the very start of your course. You’ll also have access to industry-standard facilities in Productivity East, and frequent opportunities to showcase your potential to industry professionals, through events like our annual Select Partnership Scheme. After graduation, you’ll be well equipped to explore a wide range of career opportunities in the ever-expanding renewable energy sector, where the demand for skilled data science professionals continues to rise. Disclaimer Course details are subject to change. You should always confirm the details on the provider's website: www.uea.ac.uk
Modules
Please see our website www.uea.ac.uk for further information
Assessment method
Please see our website www.uea.ac.uk for further information
How to apply
International applicants
This course has a subject classification which requires students whose nationality is outside the European Economic Area (EEA) or Switzerland to have an ATAS certificate, irrespective of country of residence at the point of application.
Further information can be found on the UK Government's website: www.gov.uk/academic-technology-approval-scheme
Entry requirements
Bachelors Honours degree - 2:2 or equivalent in Engineering, Computing, Mathematics, Physics, Environmental Science or related subject area.
Fees and funding
Tuition fees
England | £11775 | Whole course |
Northern Ireland | £11775 | Whole course |
Scotland | £11775 | Whole course |
Wales | £11775 | Whole course |
International | £24500 | Whole course |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of East Anglia UEA
Norwich Research Park
Norwich
NR4 7TJ