Program Overview

MSc Applied Data Science and Modelling

Overview

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.

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.

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.

Modules

Compulsory Modules

• EMGM001: Fundamentals of Data Science (30 credits)
• EMGM002: Trends in Data Science and AI (15 credits)
• EMGM003: Data Science and Modelling Dissertation (60 credits)
• EMGM004: Tackling Sustainability Challenges using Data and Models (30 credits)
• EMGM007: Computational Modelling and Simulation (30 credits)

Optional Modules

• Select 15 credits from:
  • EMGM006: Applied AI and Control (15 credits)
  • GEOM247: Transforming Energy Systems (15 credits)
  • ENEM105: Low Carbon Vehicles and Transport (15 credits)
  • GEO3455: Marine Climate and Environmental Change (15 credits)
  • BEP3172: Future 17: Sustainable Development Goals Challenge (15 credits)

Fees

2025/26 Entry

• UK fees per year: £12,600 full-time
• International fees per year: £28,600 full-time

Scholarships

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.

Teaching and Research

We believe every student benefits from being taught by experts active in research and practice. You will discuss the very latest ideas, research discoveries, and new technologies in seminars and via using state-of-the-art facilities and software, and you will become actively involved in a research project yourself. The programme is led by the Centre for Environmental Mathematics.

Careers

This programme is designed for students from a variety of backgrounds who want to enhance their understanding of and confidence in using real-world data and mathematical models to address the big environmental, social, and economic issues of our time, gaining knowledge of local to global scales and tapping into/skilling-up for the “Big Data revolution” in the field and in general.

Related Courses

• Data Science MSc
• Applied Data Science (Ecology and Evolution) MSc
• Applied Data Science (Environment and Sustainability) MSc
• Applied Data Science (Renewable Energy) MSc

View all Mathematics courses.