MSc in Applied Data Science (Ecology and Evolution), University of Exeter

Exeter,

12 Months

Check Eligibility

About this course

This MSc program focuses on developing expertise in data-driven approaches within ecology, evolution, conservation, biodiversity, and epidemiology. Based at the Penryn Campus in Cornwall and run jointly by the Environment and Sustainability Institute and the Centre for Ecology and Conservation, it immerses students in the 'Big Data revolution.' The course aims to equip students with the skills to analyze vast and complex data sets, and it provides opportunities to work with industry, charities, or the public sector. With a curriculum designed to meet the demands of the fast-growing data analytics sector, it prepares students to succeed in applying innovative data approaches to environmental and biological sciences.

Why this course is highly recommended

If you're passionate about ecology and evolution and want to develop advanced skills in data analytics, this course is ideal. It is particularly suited for life science graduates aiming to up-skill or re-skill for the expanding data-driven sectors. The program offers exposure to cutting-edge data methods, interdisciplinary research opportunities, and a strong connection to industry and public sector projects, making it highly relevant for those looking to make a significant impact in environmental sciences.

Specialisation

The program offers a focus on data science applied specifically to ecology and evolution, blending core skills in data analysis with discipline-specific modules in ecology, conservation, biodiversity, and epidemiology. Students will develop a well-rounded understanding of how data science techniques can be used to address pressing environmental challenges.

Course fees

Application fees

1st year tuition fees

30.19L

Living cost

Degree requirements

Applicants typically need a good degree, normally a 2:2 classification. Successful candidates usually have A-level or equivalent qualifications in Mathematics or relevant quantitative skills, or relevant professional experience. Prior coding experience is not necessary.

English language test

IELTS

6.5

DUOLINGO

120

PTE

TOEFL

Career prospects

Graduates can expect to find opportunities in the rapidly expanding data analytics sectors, especially in ecology and evolution. The UK’s strong investment in renewable energy and global environmental initiatives also open doors to roles in research, conservation, environmental consultancy, and policy-making at both national and international levels. The program's emphasis on employer-valued skills such as data modeling, evidence-based decision making, stakeholder engagement, and digital communication further enhances employment prospects.

FAQs

Do I need prior coding experience?

No, prior coding experience is not necessary for this course. The program is designed to introduce and develop your data analysis skills from the ground up.

What are the English language requirements for international students?

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