Overview

The Applied Data Science (Renewable Energy) programme from The University of Exeter is designed in collaboration with internationally renowned researchers and industrial partners you will benefit from research-led teaching, practical examples and hands-on activities.

Career

This programme is designed for students from a variety of backgrounds who want to enhance their understanding of and confidence in using real-world data and mathematical models to address the big environmental, social and economic issues of our time, gaining knowledge of local to global scales and tapping into/skilling-up for the “Big Data revolution” in the field and in general.

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Programme Structure

Courses included:

Trends in Data Science and AI

Data Science and Modelling Dissertation

Tackling Sustainability Challenges using Data and Models

Renewable Energy Systems

Advanced Marine Renewable Energy

Advanced Wind Energy

Solar Energy Research and Innovation

Low Carbon Vehicles and Transport

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Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2026-09-21 00:00:00
- Apply before 2026-09-11 00:00:00 , International
- Apply before 2026-09-16 00:00:00 , National

Language

English

Duolingo English Test

120

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TOEFL^® IBT

90

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PTE Academic

67

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IELTS

6.5

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4.9/5 student rating

Credits

180 alternative credits

Delivered

On Campus

Campus Location

Penryn, United Kingdom

Disciplines

Energy Engineering Data Science & Big Data View 105 other Masters in Energy Engineering in United Kingdom

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Academic requirements

GPA

Lower Second Class

English requirements

Duolingo English Test

120

Take A Free Practice Test!

TOEFL^® IBT

90

Schedule TOEFL®

PTE Academic

67

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

A good degree (normally a 2:2).

Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme, or possess relevant professional experience.

Prior experience of coding is not necessary on this course.

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

28900 GBP / year

≈ 28900 GBP / year
Domestic Applies to you

Applies to you

Citizens or residents

12900 GBP / year

≈ 12900 GBP / year

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Applied Data Science (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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About

Overview

Career

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Make sure you meet all requirements

Tuition Fees

International Applies to you

Domestic Applies to you

Funding

Check for any work restrictions

Scholarships Information

Available Scholarships

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