| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time |
| Entry year | 2025 |
| Campus | Penryn Campus |
| Discipline | Mathematics |
| Contact |
| Typical offer | A good degree (normally a 2:2). |
|---|---|
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
Fast Track (current Exeter students)
Discover MSc Applied Data Science and Modelling at the University of Exeter.
Top 10 in the UK for General Engineering
10th in the Complete University Guide 2025 and 8th in The Times and The Sunday Times Good University Guide 2025
Top 20 in the UK for Mathematics
18th in the Complete University Guide 2025
Research expertise in climate modelling and statistics; control and dynamics; systems biology; astrophysical fluid flows and number theory
Based on our Penryn Campus in Cornwall, where the UK’s renewable energy revolution began
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.
Entry requirements for international students
English language requirements
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.
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
The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
Compulsory modules
| Code | Module | Credits |
|---|---|---|
| MTHM601 | Fundamentals of Data Science | 30 |
| MTHM602 | Trends in Data Science and AI | 15 |
| MTHM603 | Data Science and Modelling Dissertation | 60 |
| MTHM604 | Tackling Sustainability Challenges using Data and Models | 30 |
| MTHM607 | Computational Modelling and Simulation | 30 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| Select 15 credits from: | ||
| MTHM605 | Complex Systems | 15 |
| MTHM606 | Applied AI and Control | 15 |
Markus is the Programme Director and his research addresses mathematical systems and control theory and their applications within marine engineering, renewable energy, systems biology and human wellbeing.
His academic work includes developing the Applied Mathematics programmes for both undergraduate and postgraduate taught students at the Penryn Campus, with a focus on interdisciplinary applications and in close liaison with colleagues. View profile
Read more from Dr Markus Mueller
Dr Markus Mueller
Programme Director
Fees
2025/26 entry
UK fees per year:
£12,600 full-time
International fees per year:
£28,600 full-time
Scholarships
We invest heavily in scholarships for talented prospective Masters students. This includes over £5 million in scholarships for international students, such as our Global Excellence Scholarships*.
For more information on scholarships, please visit our scholarships and bursaries page.
*Selected programmes only. Please see the Terms and Conditions for each scheme for further details.
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. You can find out more about our internationally recognised scientific research and industrial, public and charitable sector collaborations on our dedicated group web pages.
Graduate School of Environment and Sustainability
You will become part of Exeter's Graduate School of Environment & Sustainability - a vibrant and supportive postgraduate community based here on our Penryn campus in Cornwall. The Graduate School brings together experts from across the spectrum of earth and life sciences, engineering, humanities, social sciences and business. You will interact with students from other MScs and have the opportunity to explore issues from a range of perspectives, benefiting from a truly interdisciplinary experience. All our programmes are designed with a focus on developing solutions to global challenges and creating a better future for our planet and its people.
Professor Townley is particularly interested in dynamical systems and control: the study of things (mechanical, biological, electrical, etc.) which interact and evolve in time and can be predicted, managed and optimised.
He’s been the Chair in Applied Mathematics at the Environment and Sustainability Institute (ESI) since June 2011. He works closely with colleagues in the College of Engineering, Mathematics and Physical Sciences, as well as in the College of Life and Environmental Sciences, to understand natural and man-made systems.
Read more from Professor Stuart Townley
Professor Stuart Townley
Professor in Applied 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.
The UK has one of the world’s strongest and most developed data analytics sectors, predicted to grow by 177% over the next 5 years and demand for qualified professionals continues to grow. The UK’s commitment to expansion of renewable energy is likely to mean a high level of investment in the sector in the next decade. The adoption of the UK’s microgeneration tariff in 2009, the Green Deal in 2013, the phased adoption of the Renewable Heat Incentive from 2011-2014 and introduction of Contracts for Difference in 2014, suggests continued strong support for rapid expansion of renewable energy in the UK.
National and international job opportunities
Internationally, many other countries are making similar investments with major industrial nations including the US, India and China investing heavily in renewable generation. This investment will create broad opportunities for those seeking to work in the sector, both nationally and internationally.
Employer-valued skills
- Data science, modelling and essential programming skills and how to apply these to The United Nations sustainable development goals
- Ability to extract information from data as a basis for evidence-based decision making
- Working with stakeholders and advanced team-working skills in complex organisations
- Using digital media to convert complex data sets into useful information to engage with the lay public and specialists
Students will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in following your chosen career path.
Related courses of interest
The University of Exeter has significant teaching and research interests in the field of Data Science, and is home to the Institute of Data Science and Artificial Intelligence. The Institute of Data Science and Artificial Intelligence (IDSAI) provides a hub for data-intensive science and artificial intelligence (AI) activity within the University and the wider region.
Their vision is to develop innovative approaches to the use of data and artificial intelligence in modern society, covering the entire spectrum from collection through interrogation and analysis, to interpretation, visualisation and communication. They undertake fundamental research in data science and AI and facilitate interactions between data science researchers and problem owners to develop innovative approaches to the use of data in modern society, considering the social implications of data science and AI as well as the technical aspects.
To achieve this they work closely with other researchers, industry and government, for instance with key partners such as the Alan Turing Institute. Students have access to excellent facilities spanning a wide range of machine types and software ecosystems, as well as have the opportunity to study courses at either our Streatham Campus in Exeter or our Penryn Campus in Cornwall.
For more information see our related courses of interest page.
