Data Science for Renewable Energy
University of East Anglia UEAAbout this course
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
Career Prospects
Graduates from this course typically go into the following occupations:
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Course Details
- Qualification
- Master of Science - MSc (PG)
- Study Mode
- Full-time
- Duration
- 1 Year
- Start Date
- 2025
- Academic Year
- 2025
- Campus / Location
- Norwich
- Scheme
- Postgraduate
- Subjects
- Computer science, Chemical engineering