MSc in Applied Data Science (Renewable Energy), University of Exeter

Exeter,

12 Months

Check Eligibility

About this course

This interdisciplinary MSc program at the University of Exeter focuses on developing advanced data science and AI skills alongside expertise in renewable energy technologies. Situated at the picturesque Penryn Campus in Cornwall, the course combines research-led teaching, practical examples, and hands-on activities. It is run jointly by the Departments of Mathematics and Renewable Engineering and has been designed in collaboration with top researchers and industry partners. Students will learn to utilize modern scientific computing software and gain experience with a state-of-the-art Renewable Engineering Facility. The curriculum prepares students for the growing demand in data analytics sectors, specifically within renewable energy sectors, by equipping them with sought-after, interdisciplinary skills that can be applied to real-world challenges.

Why this course is highly recommended

This program is ideal for students interested in entering the rapidly expanding renewable energy sector, which is supported by strong UK and international investments. The UK’s commitment, along with global trends, ensures broad career opportunities. The course provides industry-relevant skills in data science, modeling, programming, and stakeholder engagement, valued highly in the job market. Students benefit from research-active teaching, access to cutting-edge facilities, and strong industry links, which enhance employability in the booming data analytics and renewable energy sectors worldwide.

Specialisation

The course integrates core data science and artificial intelligence skills with a focus on renewable energy systems. In Term 1, students develop foundational skills in data science and renewable energy concepts. The second term offers advanced methodologies in data science, AI, and models focused on tackling sustainability challenges, with options for specialized modules such as Advanced Marine Renewable Energy, Wind Energy, and Solar Energy Research. The final term involves an advanced project in data science and modeling, emphasizing practical and research applications relevant to renewable energy engineering.

Course fees

Application fees

1st year tuition fees

30.19L

Living cost

Degree requirements

Applicants should hold a good undergraduate degree, typically a 2:2 classification. Successful candidates usually have A-level Mathematics or equivalent and experience with quantitative skills or professional experience related to the field. Prior coding experience is not necessary. International applicants need to meet the English language requirements under Profile B3.

English language test

PTE

TOEFL

IELTS

6.5

DUOLINGO

120

Career prospects

Graduates of this program will be equipped to work in data analytics, renewable energy technology, research, and policy sectors both in the UK and internationally. The UK’s strong data sector is predicted to grow significantly, especially within renewable energy. The course also prepares students for roles involving evidence-based decision-making, stakeholder engagement, and digital communication. Support from the Career Zone helps students access industry contacts, tailored career guidance, and professional development opportunities to thrive in global job markets.

FAQs

Is prior coding experience necessary?

No, prior coding experience is not necessary for this course.

What are the English language requirements?

International students need to demonstrate they meet the required English language level under Profile B3. Specific test scores can be checked on the university’s English language requirements page.