Applied Data Science and Modelling

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

• Gain an understanding of and confidence in using real-world data and mathematical models to address the big societal issues of the 21st Century
• Based at our stunning Penryn Campus in Cornwall this interdisciplinary programme is run by the departments of Mathematics in collaboration with science and engineering
• Benefit from an interdisciplinary and outward facing programme which encourages and supports you to collaborate with industry, charities or public sector organisations
• Put your enhanced data science and modelling skills into practice by completing an advanced project
• Gain the skills and experience you need to succeed in the demanding and fast growing data analytics sectors particularly in relation to sustainability challenges

Course Content

The concurrent crises of health, climate and environment require interdisciplinary solutions underpinned by sophisticated contemporary understanding and modelling in a data-intensive world. This programme immerses students in a fusion of the “Big Data revolution” and modern mathematical modelling within a challenges-led learning environment.

• Term 1: students develop core skills and understanding through the fundamentals modules in data science and in computational modelling and simulation
• Term 2: students are exposed to state-of-the-art methods in the Trends in Data Science and Artificial Intelligence module, can select from options including Complex Systems and Applied Artificial Intelligence and Control, and put their data science and modelling skills into practice by completing the interdisciplinary, inquiry-led 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.