| 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 | Applicants are required to have either a 2:1 in a non-related science undergraduate degree, OR a 2:1 in any other degree subject and A Level Mathematics at Grade A, or equivalent. |
|---|---|
Overview
- Intended for graduates from a non-computing background who aspire to work with computers in a range of industries.
- Designed to complement your first degree with the knowledge, and skills, required to thrive in the dynamic and rapidly evolving field of computer science.
- Enhances employability in a competitive job market by providing you with both specialised technical knowledge and the communication skills often sought by employers.
- Learn about the latest developments, tools and methodologies in areas such as artificial intelligence, cyber security, human-centred computing and software engineering.
- Encourages the application of knowledge from different disciplines to provide an integrated approach to problem-solving.
Top 20 for Computer Science
20th in The Times and The Sunday Times Good University Guide 2024
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
Top 20 for Computer Science
20th in The Times and The Sunday Times Good University Guide 2024
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
Entry requirements
Applicants are required to have at least a 2:1 degree in a non-related science undergraduate degree, or a 2:1 in any other degree subject and A Level Mathematics at Grade A or equivalent.
Please note, this is a conversion course designed to allow students from a wide range of backgrounds to pursue a career in computer science. If you have studied Computer Science, Mathematics, Physics, Engineering or other related degree, we very strongly advise that you apply for one of our advanced programmes, please see MSc Advanced Computer Science or MSc Advanced Computer Science with Business. The MSc Computer Science programme is a conversion course intended for students who have a non-related degree background therefore the course content has been designed so that it is appropriate for that entry level.
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
Please visit our entry requirements section for equivalencies from your country and further information on English language requirements.
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 MSc Computer Science programme is designed for individuals from diverse academic backgrounds seeking a seamless transition into the dynamic field of Computer Science. This one-year programme combines theoretical foundations with practical, hands-on experience to equip students with the essential skills and knowledge demanded by the diverse application domains of society and industry.
The programme structure is designed to provide the core concepts in computer science in term 1, such as algorithms and architectures, data systems, programming and security. In term 2 this foundation of knowledge will be extended to the practical domains with the introduction of ethical and governance frameworks as well as professional frameworks in software development. Also in term 2 students will have the opportunity to explore a number of applications. Finally the capstone project of the degree will be an individual research project completed under the supervision of a computer science academic.
By the end of the degree programme you will have learned the core principles of computer science and mastered the practical skills to solve real-world problems through the application of computer science.
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 |
|---|---|---|
| COMM514 | Research Project | 60 |
| COMM107 | Algorithms and Architectures | 15 |
| COMM108 | Data Systems | 15 |
| COMM109 | Programme with Python | 15 |
| COMM110 | Software Development | 15 |
| ECMM462 | Fundamentals of Security | 15 |
| SOCM033 | Data Governance and Ethics | 15 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| Choose 30 credits from the following: | ||
| ECMM426 | Computer Vision | 15 |
| ECMM463 | Building Secure and Trustworthy Systems | 15 |
| ECMM464 | Security Assessment and Validation | 15 |
| Including up to 30 credits from the following assuming pre-requisites are met: | ||
| ECM3446 | High Performance Computing | 15 |
| ECM3408 | Enterprise Computing | 15 |
| Including up to 30 credits from other departments: | ||
| BEMM190 | Digital Transformation | 15 |
| XXXX | Free choice elective | 30 |
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.
Computer Science at the University of Exeter provides a collaborative and inclusive environment in which students and researchers can advance their knowledge of this dynamic and exciting subject.
Read more from Professor Andrew Howes
Professor Andrew Howes
Head of Computer Science
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. 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.
Academic support
Teaching staff include scientists and leading academics in the field who work with businesses to solve difficult, real-world computational problems. The university also has a growing number of apprenticeship programmes whose direct links with industry benefit the department.
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.
The programme will provide you with the following skills in preparation for graduate employment:
Technical Skills: A computer science degree provides a strong foundation in programming languages, algorithms, data structures, databases, and other core technical concepts. These skills are highly sought after in the technology industry.
Problem-Solving Abilities: Graduates are trained to approach complex problems analytically, breaking them down into manageable components.
Versatility: Computer science is a versatile field, and a degree in this field can open doors to various career paths. Whether it is software development, cybersecurity, data science, artificial intelligence, or other areas, computer science graduates have the flexibility to explore different roles.
Innovation and Creativity: Computer science education encourages creativity and innovation. Graduates learn to design and implement solutions to real-world problems, fostering a mindset that is valuable in many industries beyond technology.
Adaptability: The technology landscape is constantly evolving. A computer science degree equips you with the ability to adapt to new technologies and methodologies, making you more resilient in a rapidly changing job market.
Teamwork and Communication Skills: The programme incorporates group projects, fostering collaboration and communication skills. This is crucial in the workplace, where professionals often need to work in multidisciplinary teams.
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.
