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Postgraduate taught

MSc Applied Data Science and Satellite Applications - 2023 entry

Please note: The below is for 2023 entries. Click here for 2022 entries.
UCAS code 1234
Duration 1 year full time
Entry year 2023
Campus Penryn Campus
Discipline Mathematics
Typical offer

View full entry requirements

A good degree (normally a 2:2).

Contextual offers


  • Gain an understanding of and confidence in using real-world data and quantitative models to address the big societal issues of the 21st Century
  • Develop specialist knowledge and skills relating to satellite technology, operations, and communications, remote sensing data, the economy of the space and related industries, and sustainability and environmental aspects of space activities
  • Gain the skills and experience you need to succeed in the demanding and fast growing sectors at the interface of data analytics and satellite applications
  • Based at our stunning Penryn Campus in Cornwall this interdisciplinary programme is run by the Centre for Environmental Mathematics within the Department of Earth and Environmental Science and in collaboration with the Exeter Business School
  • Benefit from an interdisciplinary and outward facing programme which encourages and supports you to collaborate with specialist industry partners, such as Spaceport Cornwall and Goonhilly Earth Station, and the South West Centre of Excellence in Satellite Applications, and other private and public sector organisations
  • Enhance your data science and modelling skills by completing an advanced project
Apply for Sept 2023 entry

Apply online

View 2022 Entry

Fast Track (current Exeter students)

Open days and visiting us

Get a prospectus


Programme Director: Dr Markus Mueller

Web: Enquire online

Phone: +44 (0)1392 72 72 72

Collaborate with specialist industry partners

Spaceport Cornwall, Goonhilly Earth Station and the South West Centre of Excellence in Satellite Applications

Partner to the Alan Turing Institute and home to the Institute of Data Science and Artificial Intelligence

Top 10 in the Russell Group for Teaching Quality and Student Experience

Times and Sunday Times Good University Guide 2022

11th in the UK for General Engineering

The Complete University Guide 2023

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 B. Please visit our English language requirements page to view the required test scores and equivalencies from your country.

Course content

The challenges of the 21st century, in particular the concurrent climate and environment crises, require interdisciplinary solutions underpinned by sophisticated contemporary understanding and modelling in a data-intensive world. Much of this data is collected through remote sensing technologies, in particular earth observation satellites. This programme immerses students in a fusion of the “Big Data revolution” and satellite applications within a challenges-led learning environment.

  • Term 1: students develop core skills and understanding through the fundamentals modules in data science and in satellite technologies, and may select from optional modules including Themes in Climate Change and Perspectives on Sustainable Development

  • Term 2: students are exposed to state-of-the-art methods in the Trends in Data Science and Artificial Intelligence module, specialist modules on The Acquisition and Analysis of Satellite Data and The Economy of Space, and can select from options including Complex Systems and Applied Artificial Intelligence and Control

  • 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.


2023/24 entry

UK fees per year:

£11,000 full-time 

International fees per year:

£25,000 full-time


We invest heavily in scholarships for talented prospective Masters students and have over £2.5 million in scholarships available, including our Global Excellence Scholarships* for international fee paying students.

For information on how you can fund your postgraduate degree at the University of Exeter, please visit our dedicated funding 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 within the Department of Earth and Environmental Science, and is taught in collaboration with the Department’s Centre for Geography and Environmental Science and the Exeter Business School’s Sustainable Futures group. You can find out more about our internationally recognised scientific research and industrial, public and charitable sector collaborations at the dedicated web pages for Environmental Mathematics and the Environment and Sustainability Institute.


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 analysis 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 university’s partnerships with regional organisation in the “space sector”, such as Spaceport Cornwall and Goonhilly Earth Station, give students the opportunity to develop skills and knowledge that crucial to a growing number of organisations drawing on satellite technology and earth observations.

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.

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