- Designed for those interested in learning the theoretical and practical skills within data science whilst developing advanced skills in artificial intelligence
- Learn from our research expertise within Exeter's Institute for Data Science and Artificial Intelligence (IDSAI) in areas including computer vision, knowledge representation, bio-inspired computation and optimisation
- Explore the fundamental mathematical and computational techniques which underpin Data Science applications, building on your existing scientific and/or mathematical knowledge
- Learn about specific applications including network analysis, text analysis and machine vision as well as governance and ethical aspects of data use
- Undertake a research project where you’ll develop skills in a specific area of interest and pursue your ideas, with the support of your academic supervisor.
6th in the UK for Computer Science
The Times and The Sunday Times Good University Guide 2020
Partner to the Alan Turing Institute and home to the Institute of Data Science and Artificial Intelligence
Excellent facilities spanning a wide range of machine types and software ecosystems
Courses designed to launch and develop careers for those working in or entering data and technology-driven roles
Candidates are required to have at least a 2:1 degree in a strongly numerate subject (e.g. computer science, mathematics, physics) and must be able to show evidence of good programming ability in a recognised modern computer language. Candidates may be interviewed by video conference to assess their programming ability and suitability for the course.
The Python programming language is used extensively during this course and applicants with experience in other languages will be asked to learn basic Python before commencing the course.
We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications.
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.
UK fees per year:
International fees per year:
Institute of Coding Scholarships
The University of Exeter has six Institute of Coding Scholarships worth £10,000 available for students studying Data Science with Artificial Intelligence MSc and Cyber Security Analytics MSc, starting in autumn 2020.
The awards are part of a scheme by the Office for Students which aims to significantly increase the number and diversity of highly skilled graduates in the UK Data Science sector by 2023. These scholarships are intended to support students from underrepresented groups to access, participate and succeed in higher education.
Once you have applied for your course, please visit the Institute of Coding Scholarship web page to find out more information and access the scholarship application system.
The University of Exeter is offering scholarships to the value of over £4 million for students starting with us in September 2021. Details of scholarships, including our Global Excellence scholarships for international fee paying students, can be found on our dedicated funding page.
Teaching and research
Artificial Intelligence at Exeter
Teaching on this degree is directly influenced by research undertaken within Exeter’s Institute for Data Science and Artificial Intelligence which provides a hub for data-intensive science and artificial intelligence activity within the University.
The institute’s vision for data science is to find new means of interrogating and understanding data and to apply cutting-edge data analytical methodologies to diverse questions. It is a truly interdisciplinary research community made up of data scientists, mathematicians, and computer specialists across many of Exeter’s research groups and departments.
Learning and Teaching
Teaching is mainly delivered by lectures, workshops and online materials. Each module references core and supplementary texts, or material recommended by module deliverers, which provide in depth coverage of the subject and go beyond the lectures.
A supportive environment
We aim to provide a supportive environment where students and staff work together in an informal and friendly atmosphere. The department has a student-focused approach to teaching, whereby all members of staff deal with questions on an individual basis. We operate an open door policy, so it is easy to consult individual members of staff or to fix appointments with them via email. As a friendly group of staff, you will get to know us well during your time here.
A research and practice led culture
We believe every student benefits from being taught by experts active in research and practice. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will discuss the very latest ideas, research discoveries and new technologies, becoming actively involved in a research project yourself.
The assessment strategy for each module is explicitly stated in the full module descriptions given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills. Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialised topics, and individual and group presentations.
Data Science is changing the way people do business. Mountains of previously uncollectable data, generated by huge growth in online activity and appliance connectivity, is becoming available to businesses in every sector. The opportunities for businesses and individuals who can manage, manipulate and extract insights from these enormous data sets are limitless. A direct result of this is the dramatic increase in demand for individuals with the skills to turn this information into insight is outstripping supply.
Upon completion of this course, you will possess not only the practical and theoretical knowledge necessary to start a career in the field of Data Science, you will also be able to apply the knowledge gained throughout your Masters to understand and design artificially intelligent computer-based systems.
Being part of Exeter’s fastest growing department and studying in an area experiencing rapid growth across multiple sectors of Industry, you’ll have excellent career potential.
Dedicated careers support
You 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 developing your enterprise acumen. Please visit the Career Zone for additional information on their services.
Fantastic facilities, outstanding teaching, world-leading research and exceptional graduate employability are just a few of the reasons we think you'll love it here. Find out what our students say about choosing Exeter.
Studying at our campuses in Devon or Cornwall means you'll have some of the most beautiful natural scenery in the UK on your doorstep. Find out about student life at Exeter and the huge range of sports, clubs and societies on offer.
One University, two locations
We have around 20,000 students across our three campuses in Devon and Cornwall which means we offer the academic excellence and facilities you'd expect of a major university but also a friendly and welcoming atmosphere.