Applied Data Science (Environment and Sustainability)

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 an understanding of state-of-the-art modelling, emergent data science techniques, and explore economic, environmental, and societal issues surrounding sustainability practices and policies
• Based at our stunning Penryn Campus in Cornwall and hosted by the University’s Environment and Sustainability Institute, which leads cutting-edge research on problems of environmental change
• Be exposed to a wide variety of data and data analytics approaches with opportunities to work with industry, charities, or the public sector
• Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors particularly in relation to sustainability

Course Content

The contemporary climate and environmental crises necessitate discipline-transcending solutions underpinned by understanding complex systems and models that draw from a data intensive world. Sustainable development is now a top priority in many industries and for many public and non-governmental organisations.

This programme is aimed at enhancing the students’ understanding of and confidence in using real-world data and mathematical models to address the big environmental, social and economic issues of our time.

• Term 1: students develop core skills through the fundamentals module in data science, and explore foundational concepts and transdisciplinary methods for sustainability science
• Term 2: students are exposed to state-of-the-art data science methods in the Trends in Data Science and Artificial Intelligence module, and put their data science and modelling skill into practices by completing the interdisciplinary module Tackling Sustainability Challenges using Data and Models
• 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.