| UCAS code | 1234 |
|---|---|
| Duration | 1 year full time or 2 years part time |
| Entry year | 2025 |
| Campus | Streatham Campus |
| Discipline | Computer Science |
| Contact | Web: Enquire online |
| Typical offer | Normally a 2:1 degree or equivalent |
|---|---|
Overview
- If you have a degree in a strongly numerate subject and an interest in a career in cyber security, data analytics, or the intersection of both then this programme is for you. You do not need a computing background
- Our innovative programme is taught in a multi-disciplinary partnership of Computer Science, the University of Exeter Business School and our Law School with input from leading industry experts
- We work closely with the local cyber security community such as the South West Cyber Security Cluster and BSides Exeter
- You’ll learn how to recognise and manage risks to a network or a system’s security with data analytics, and how to build and defend secure systems with cyber security
- You’ll investigate wider security elements including mathematical, human and societal factors alongside the option to study cyber security law and the future of virtual currency
- Join us in tackling the challenges of modern life from the complementary viewpoints of Cyber Security and Data Science
Fast Track (current Exeter students)
Dr Diego Marmsoler talks about Cyber Security Analytics 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 a strongly numerate subject (e.g. computer science, mathematics or physics) and 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.
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.
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
The MSc Cyber Security Analytics is an innovative course that allows you to study two highly sought after skills: cyber security and data science. This combination enables you to study challenges in modern life from two complementary viewpoints. Our course has a strong focus on ensuring that safety, security and data privacy are inherent in the design of software systems.
Our compulsory modules offer you a firm foundation in cyber security and data science yet you have the flexibility to create a degree that matches your interests through our optional module choices.
MSc Cyber Security Analytics consists of core compulsory Cyber Security and Data Analytics focussed modules worth 60 credits, a 60-credit MSc Research project, and 60 credits of optional modules (two chosen from Cyber modules and two from Data Science / Analytics). Your research project typically applies knowledge of both cyber security and data analytics and will be under the supervision of a research expert in your chosen area.
The full time programme starts in September and the taught elements are concluded by May. Your research continues until September.
If you choose to study the programme part time over two years you will also begin in September. During your first year you will study at least 4 modules which must include ECMM443 Introduction to Data Science, ECMM462 Fundamentals of Security, and COMM108 Data Systems. In year two, you will complete at least 4 modules (which must include ECMM463 Building Secure and Trustworthy Systems, if not already taken in year 1) and complete your research 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 |
|---|---|---|
| CYBER MODULES (30 credits) | ||
| ECMM462 | Fundamentals of Security | 15 |
| ECMM463 | Building Secure and Trustworthy Systems | 15 |
| DATA SCIENCE / ANALYTICS MODULES (30 credits) | ||
| ECMM443 | Introduction to Data Science | 15 |
| COMM108 | Data Systems | 15 |
| PROJECT | ||
| COMM514 | Research Project | 60 |
Optional modules
| Code | Module | Credits |
|---|---|---|
| CYBER MODULES (Select 30 credits) | ||
| ECMM464 | Security Assessment and Validation | 15 |
| LAWM163 | The International Law of Cyber Operations | 15 |
| LAWM155 | Human Rights and Digital Technologies | 15 |
| BEE3109 | Bitcoin, Money and Trust | 15 |
| SOCM033 | Data Governance and Ethics | 15 |
| DATA SCIENCE / ANALYTICS MODULES (Select 30 credits) | ||
| COMM511 | Statistical Data Modelling | 15 |
| ECMM422 | Machine Learning | 15 |
| ECMM423 | Evolutionary Computation & Optimisation | 15 |
| ECMM445 | Learning From Data | 15 |
| ECMM450 | Stochastic Processes | 15 |
| ECMM461 | High Performance Computing | 15 |
| MTHM508 | Bayesian Philosophy and Methods in Data Science | 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.
Academic partners
As academic partners of the Chartered Institute of Information Security, our MSc students are eligible for free student membership. This enables you to develop your network and make contacts within the cyber security community, attend CIISec events and contribute articles to their magazine. Find more information about CIISec Academic partnership and their student membership.
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 data science and 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.
World-class facilities
Our latest facilities for computer science students are world-class spacious teaching labs allowing comfortable, collaborative working in a sensory-friendly environment.
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.
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. Our connections with industry and the local, national and international cyber security network mean we have an in depth understanding of the skills and knowledge needed by industry. We regularly review our curriculum to ensure the employability of our MSc students.
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.
Our Security and Trust of Advanced Systems group focusses on all aspects of building secure, safe, privacy-preserving, reliable, and trustworthy systems. You can also read more about our data science researchers by discovering our hub for data-intensive science and artificial intelligence at the Institute for Data Science and Artificial Intelligence.
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
Modules are either assessed by coursework only, or a mixture of coursework and an exam. For detailed information on assessment of each module, see the module descriptions above. Assessment methods can include essays, technical reports, closed book tests, practical exercises in programming, program and data analysis, project work, and individual and group presentations.
Careers
Cyber security and data science are elements of computer science which affect almost every aspect of society today. Every company around the world is in need of cyber security experts, no matter which field or industry you are interested in shaping. Huge opportunities exist for the businesses and individuals who can apply machine learning; mathematical modelling; and offensive and defensive security techniques to applications in data science and cyber security. This programme provides you with the foundations for a great career in data analytics, cyber security or the intersection of both.
Graduate destinations
Career opportunities are limitless, with graduates being found in a variety of sectors, including software engineering, health communications, education, life sciences, finance, civil service, intelligence 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.
