Applied Data Science (Ecology and Evolution)

Entry 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.

Please also see our guidance on essential documentation required for an initial decision on taught programme applications.

Months of entry

September

Course content

• Develop expertise in data-driven perspectives on ecology, evolution, conservation, biodiversity, and epidemiology
• Based at our stunning Penryn Campus in Cornwall and run jointly by the University’s Environment and Sustainability Institute and the Centre for Ecology and Conservation
• Be exposed to a wide variety of data and data analytics approaches with opportunities to work with industry, charities, or the public sector
• You’ll be immersed in the “Big Data revolution” and develop expertise in data-driven perspectives on ecology, evolution, conservation, biodiversity, and epidemiology
• Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors particularly in relation to ecology and evolution

Course Content

Contemporary crises of the environment, and the ongoing threats of habitat loss and extinction posed to many species, have brought into sharp focus the importance of data intensive research in ecology and evolution. This programme is specifically designed for students with an interest in modern approaches in the life sciences.

• Term 1: students develop core skills and understanding through the fundamentals modules in data science and in ecology and evolution
• Term 2: students are exposed to state of the art methods in the Trends in Data Science and Artificial Intelligence module, complete the interdisciplinary, inquiry-led module module Tackling Sustainability Challenges using Data and Models, and can select from further Masters level modules within biosciences
• Term 3: students undertake an advanced data science and modelling project

Information for international students

International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B3. Please visit our English language requirements page to view the required test scores and equivalencies from your country.

Fees and funding

The University of Exeter has many different scholarships available to support your education, including £5 million in scholarships for international students applying to study with us in the 2025/26 academic year, such as our Exeter Excellence Scholarships*.

For more information on scholarships and other financial support, please visit our scholarships and bursaries page.