MSc Applied Data Science - Renewable Energy
- Become immersed in the ‘Big Data revolution’ and develop state-of-the-art data science and AI skills alongside expertise in emerging renewable technologies
- Based at our stunning Penryn Campus in Cornwall this interdisciplinary programme is run jointly between the departments of Mathematics and Renewable Engineering
- Designed in collaboration with internationally renowned researchers and industrial partners you will benefit from research-led teaching, practical examples and hands-on activities
- Develop sought-after, discipline-transcending skills and utilise these through use of modern scientific computing software and a new state-of-the-art Renewable Engineering Facility
- Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors, specifically within renewable technologies.
- Become immersed in the ‘Big Data revolution’ and develop state-of-the-art data science and AI skills alongside expertise in emerging renewable technologies
- Based at our stunning Penryn Campus in Cornwall this interdisciplinary programme is run jointly between the departments of Mathematics and Renewable Engineering
- Designed in collaboration with internationally renowned researchers and industrial partners you will benefit from research-led teaching, practical examples and hands-on activities
- Develop sought-after, discipline-transcending skills and utilise these through use of modern scientific computing software and a new state-of-the-art Renewable Engineering Facility
- Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors, specifically within renewable technologies.
Read more
Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
- Become immersed in the ‘Big Data revolution’ and develop state-of-the-art data science and AI skills alongside expertise in emerging renewable technologies
- Based at our stunning Penryn Campus in Cornwall this interdisciplinary programme is run jointly between the departments of Mathematics and Renewable Engineering
- Designed in collaboration with internationally renowned researchers and industrial partners you will benefit from research-led teaching, practical examples and hands-on activities
- Develop sought-after, discipline-transcending skills and utilise these through use of modern scientific computing software and a new state-of-the-art Renewable Engineering Facility
- Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors, specifically within renewable technologies.
- Become immersed in the ‘Big Data revolution’ and develop state-of-the-art data science and AI skills alongside expertise in emerging renewable technologies
- Based at our stunning Penryn Campus in Cornwall this interdisciplinary programme is run jointly between the departments of Mathematics and Renewable Engineering
- Designed in collaboration with internationally renowned researchers and industrial partners you will benefit from research-led teaching, practical examples and hands-on activities
- Develop sought-after, discipline-transcending skills and utilise these through use of modern scientific computing software and a new state-of-the-art Renewable Engineering Facility
- Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors, specifically within renewable technologies.
Read more
Requirements
The requirements may vary based on your selected study options.
Modules
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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
