| 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
- Taught in partnership with the Business School
- Combine core 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
- Your project, which forms a major part of your Masters, will be business-focussed as you explore data science in a commercial environment.
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 and access to world-class computer 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 and access to world-class computer 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.
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
Part time students will follow:
Year 1
You must complete at least 60 credits.
Year 2
You must complete at least 60 credits, including ECMM454 Computer Science Business 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 |
|---|---|---|
| ECMM454 | Computer Science Business Project | 60 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| Select up to 90 credits | ||
| ECM34XX | ECM34XX Module in Computer Science (up to 30 credits) | 30 |
| ECMM409 | Nature-Inspired Computation | 15 |
| ECMM410 | Research Methodology | 15 |
| ECMM422 | Machine Learning | 15 |
| ECMM424 | Computer Modelling and Simulation | 15 |
| ECMM426 | Computer Vision | 15 |
| ECMM445 | Learning from Data | 15 |
| ECMM447 | Social Networks and Text Analysis | 15 |
| ECMM461 | High Performance Computing | 15 |
| ECMM462 | Fundamentals of Security | 15 |
| MTHMXXX | MTHMXXX Mathematics Modules | 15 |
| SOCM033 | Data Governance and Ethics | 15 |
| Select at least 30 credits | ||
| BEAM045 | Accounting for International Managers | 15 |
| BEMM068 | Managing Competitive Strategy | 15 |
| BEMM071 | Leadership and Global Challenges | 15 |
| BEMM114 | Managing Operations | 15 |
| BEMM118 | Strategic Innovation Management | 15 |
| BEMM148 | Marketing Strategy | 15 |
| BEMM190 | Digital Transofrmation | 15 |
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.
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 specialized topics, and individual and group presentations.
Careers
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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.
