| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time 2 years part time |
| Entry year | 2025 |
| Campus | Streatham Campus |
| Discipline | Computer Science |
| Contact | Web: Enquire online |
| Typical offer | 2:1 Honours degree |
|---|---|
Overview
- This programme is an ideal course for you if you have graduated from a computer science background* and wish to build on your existing knowledge of computer science whilst learning key business and management skills.
- This flexible programme is taught in partnership with the Business School and gives you the opportunity to choose a mix of Computer Science and Business modules that suits your interests.
- You can combine fundamental Computer Science modules with modules in Management, Strategy, Marketing and Accounting to prepare you for working with data in a leadership or management role.
- Learn from teaching that draws directly from our particular research strengths in AI, machine learning, data science, high-performance computing and networks, and cyber-security.
- Explore the latest techniques and technologies, and how to apply these to complex contemporary problems across the breadth of society.
- Our latest facilities for computer science students are world-class spacious teaching labs allowing comfortable, collaborative working in a sensory-friendly environment fully supported by your teachers.
- Your project, which forms a major part of your masters, will be business-focussed as you explore data science in a commercial environment, preparing you for your next steps.
*If you are interested in an MSc in computer science but do not meet the entry requirements for this programme, you are welcome to apply for MSc Computer Science or MSc Data Science.
Fast Track (current Exeter students)
Discover MSc Advanced Computer Science with Business at the University of Exeter.
Top 10 in the UK for graduate prospects
Joint 9th for graduate prospects for Computer Science in the Complete University Guide 2025 (94%)
Long-established partnership with 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 alongside world-class computer science labs
Courses designed to launch and develop careers for those working in or entering data and technology-driven roles
Top 10 in the UK for graduate prospects
Joint 9th for graduate prospects for Computer Science in the Complete University Guide 2025 (94%)
Long-established partnership with 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 alongside world-class computer science labs
Courses designed to launch and develop careers for those working in or entering data and technology-driven roles
Entry requirements
Applicants are required to have at least a 2:1 degree in computer science or a related area. This is an advanced programme and requires substantial previous knowledge of computer science (equivalent to that gained from an undergraduate degree in this area).
Applicants must be able to show evidence of good programming ability in a recognised modern computer language. Applicants may be interviewed by video conference to assess their programming ability and suitability for 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. If you do not meet the entry criteria for this programme, please consider our MSc Computer Science or MSc Data Science programmes which are open to students from non-computing backgrounds.
Please also see our guidance on essential documentation required for an initial decision on taught programme applications.
Entry requirements for international students
Please visit our entry requirements section for equivalencies from your country and further information on English language requirements.
Please also see our guidance on essential documentation required for an initial decision on taught programme applications.
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
Computer Science is a wonderful, complex and curiosity-driven scientific field in its own right, but it enables, facilitates and supports so many other fields of scientific inquiry and is applied to so many real-world problems that it affords you the opportunity to take your research or career almost anywhere.
Our Advanced Computer Science with Business MSc course design offers you the flexibility to choose the modules that match your areas of interest. Our computer science modules cover fundamental skills such as high performance computing, machine learning, modelling and simulation, social networks and text analysis, and security. You can choose from a selection of business modules covering accounting, competitive strategy, leadership, operations, innovation, digital transformation and marketing.
Your final project brings together computer science and business as you explore data science in a commercial environment. Our academics have connections with industrial partners such as the National Trust, Met Office and the NHS which means there are opportunities for your research project to be linked to a real-world problem. Whatever you choose to research, the size and diversity of our department means that you will be able to choose an academic supervisor closely aligned with your research goals. We offer you dual supervision - your primary supervisor is likely to be from the Business School and a computer science colleague will act as a secondary supervisor to support with the computer science elements of your project.
Part time students will complete 60 credits in your first year and another 60 credits plus your project (ECMM454 Computer Science Business Project) in your second year.
Full time students will study 60 credits plus beginning your project module in term one, a further 60 credits in term two and term three will be used to complete your 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.
Fees
2025/26 entry
UK fees per year:
£12,600 full-time; £6,300 part-time
International fees per year:
£29,500 full-time; £14,750 part-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.
*Terms and conditions apply. See online for details.
Teaching and research
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.
Internationally recognised research
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. Read more about our current computer science research and our Business School research. The University is also home to the Institute for Data Science and Artificial Intelligence which provides a hub for data-intensive science and artificial intelligence within the University and the wider region. Our research centre, the Initiative in the Digital Economy at Exeter (INDEX) brings together the worlds of business and computer science.
Academic partners
Our long-established partnership with the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence, means that we have strong connections to the UK AI research community. Currently we host 11 Turing Fellows and one Turing AI Fellow at the University. Turing Fellows are established scholars with proven research excellence in data science, AI, or a related field. Lectures, conferences and seminars organised by Turing and the Turing University Network are usually open to our students to attend either in person or online.
Investment in data science and artificial intelligence
The University has invested £50 million in the development of its Data Science and Artificial Intelligence capabilities. The Accelerating Data Science and Artificial Intelligence (ADA) project has been running since 2023 and has invested in teaching, research and infrastructure which this programme benefits from.
Supportive environment
We aim to provide a supportive environment where students and staff work together in an informal and friendly atmosphere. We operate an open door policy, so it’s easy to consult individual members of staff or to fix appointments with them via email. As a friendly group of staff, you’ll get to know us well during your time here.
Assessments
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.
Facilities
World-class facilities
Our latest computing facilities are world-class spacious teaching labs allowing comfortable, collaborative working in a sensory-friendly environment.
You will have the opportunity to carry out work on the University’s High Performance Computing environment, a £3m investment by the University, designed to serve advanced computing requirements.
Careers
Computer Science is at the forefront of technology and innovation. With connectivity at the heart of society, there is an increasing need for graduates who are able to understand the latest techniques and technology to negotiate problems. Huge opportunities exist for the businesses and individuals who can solve these problems using the latest technology such as artificial intelligence, machine learning, data science, high performing computing and cyber security.
Graduate destinations
Career opportunities are limitless, with graduates being found in a variety of sectors, including software engineering, health communications, education, life sciences, finance and manufacturing. This programme is particularly suited to professionals and graduates looking to develop career options or pursue academia.
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.
