On this UK government’s National Cyber Security Centre (NCSC) fully certified programme, you learn the essential skills to support cyber security within commercial and government organisations. This includes the technical side of encryption, authentication, biometrics, network security, etc as well as information security management and cyber security risk.
This MSc is aimed at computing graduates with strong programming skills seeking careers as cyber security professionals or careers that need a systematic and deep understanding of the subject. It would also be an excellent starting point for those wishing to carry out further research in cyber security. Taught Master’s programmes are available with an optional industrial placement.
Our world-leading researchers, in key areas such as cyber security, programming languages, computational intelligence and data science, earned us an outstanding result in the recent Research Excellence Framework (REF). Our submission was ranked 12th in the UK for research intensity, with an impressive 98% of our research judged to be of international quality.
Strong links with industry underpin all our work, notably with Cisco Systems Inc, Microsoft, Oracle, IBM, Nvidia, Erlang Solutions, GCHQ and Google.
Our programmes are taught by leading researchers who are experts in their fields. The School of Computing at Kent is home to several authors of leading computer science textbooks. Kent was awarded gold, the highest rating, in the UK Government’s Teaching Excellence Framework*.
While studying with us, you can gain work experience through an industrial placement. Our dedicated placement team can help you gain a suitable paid position and provide support throughout your placement.
We have a large range of equipment providing both Linux and PC-based systems. Our resources include a multicore enterprise server and a virtual machine server that supports computer security experiments.
The School also has a makerspace, The Shed, which offers exciting teaching and collaboration opportunities. Among other equipment it contains a milling machine, 3D printers, laser cutter and extensive space for building and making digital artefacts.
This talk describes why identity theft is so easy to enact today over the Internet, and how it can be prevented by utilising the latest research in verifiable credentials.
*The University of Kent's Statement of Findings can be found here
A first, 2.1 or good 2.2 honours degree (or equivalent) in computing or a related subject with a strong background in programming.
All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.
Please see our International Student website for entry requirements by country and other relevant information. Due to visa restrictions, students who require a student visa to study cannot study part-time unless undertaking a distance or blended-learning programme with no on-campus provision.
The University requires all non-native speakers of English to reach a minimum standard of proficiency in written and spoken English before beginning a postgraduate degree. Certain subjects require a higher level.
For detailed information see our English language requirements web pages.
Please note that if you are required to meet an English language condition, we offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways.
Duration: 1 year full-time
Each of our taught MSc courses is available in several formats to accommodate students from different backgrounds and to provide maximum flexibility. See more about Taught Master's course formats.
The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.
Students spend a period working in an industrial or commercial setting, applying and enhancing the skills and techniques they have developed and studied earlier during their MSc programme. The work is undertaken under the direction of their industrial supervisor, but support is provided via a dedicated Placement Support Officer with the School. This support includes ensuring that the work they are being expected to do is such that they can meet the learning outcomes of the module.
Fundamentals of Image Processing
General introduction to digital image processing; image acquisition, quantisation and representation; Affine transforms; image enhancement techniques: contrast manipulation, binarisation, noise removal (spatial and frequency domain); edge detection techniques; image segmentation: edge-based, region- based, watershed; Hough transform; image feature extraction; advanced image processing: morphological operations, colour image processing, various image transforms (Fourier, wavelet, etc).
Fundamentals of Pattern Recognition
Patterns and pattern classification, and the role of classification in a variety of application scenarios, including security and biometrics. Basic concepts: pattern descriptors, pattern classes; invariance and normalisation. Feature-based analysis. Texture analysis. The classification problem and formal approaches. Basic decision theory and the Bayesian classifier. Cost and risk and their relationship; rejection margin and error-rate trade-off. Canonical forms of classifier description. Estimation of class- conditional distributions; bivariate and multivariate analysis. Euclidean and Mahalanobis distance metrics and minimum distance classifiers. Parametric and non-parametric classification strategies. Linear discriminant analysis. Clustering approaches, and relationship between classifier realisations. Practical case studies. Introduction to non-classical techniques such as neural network classification.
Security Applications and Image Analysis
Signature authentication and analysis, Digital watermarking, Content hidden in Images and Video, Steganography. Image forensics.
Implementation Essentials
Programming and data analysis using MatLab and other software tools as appropriate. Introduction to practical work using MatLab. Students not familiar with Matlab programming will be provided with appropriate introductory material before this lecture.
This module investigates the whole process of security management and associated activities such as privacy and trust management. A holistic view of security management is taken, including risk management, the formulation of security policies, business continuity and resilience.
Technical subjects include a description of the various security models, and showing how authorisation policies can be automatically enforced. There is also an emphasis on trust and reputation in systems. The legal and privacy issues associated with information management are also addressed, as are the usability issues of security technologies.
The module will explore existing and emerging legal issues in cyber security, cybercrime, privacy and data protection, including the domestic and cross-boundary legal regulatory frames and their associated ethical dimensions. Topics covered include cybercrime, privacy and data protection, Internet and cyber surveillance, cross-border information flows, and legal structures. Students will be challenged to critically examine the ethics and management of cyber data. It will require students to assess emerging legal, regulatory, privacy and data protection issues raised by access to personal information.
Introduction, including a review of network techniques, switching and multiple access. High speed local area networks. Network protocols, including data link, network, transport and application layers and their security issues. Problems of network security and mechanisms used to provide security such as firewalls. Real time data transmission and quality of service. Naming and addressing. Security of IEEE 802.11 networks. Recent developments: topics will change from year to year
• A general introduction to networks and networking protocols, especially TCP/IP.
• Overview of important Internet application protocols: HTTP, SMTP, DNS, LDAP.
• A study of cryptographic algorithms including symmetric and asymmetric techniques and the distinction between encryption and signatures.
• Security mechanisms used with operating systems, including: usernames/passwords, access control lists and capabilities.
• Problems of network security including wiretap, replay, masquerade and denial of service. Mechanisms to provide security such as firewalls and VPNs.
• Viruses and worms.
• Distributed Mechanisms, including client authentication (Needham-Schroeder, Kerberos and others); public key infrastructures and certification, with treatment of chains and authority, and the problem of revocation.
• Securing email systems: PGP and S/MIME
• Identity management systems: e.g. Shibboleth, Passport, CardSpace, OpenID.
• Basic introduction to information risk management and information security management.
• Security of IEEE 802.11 networks (aka Wi-Fi), presentation and discussion of their security protocols: WEP, WPA, WPA2, IEEE 802.11i and RSN.
The project consists of an extended period during which students work on a specific piece of project work and a report on this work in the form of a dissertation. Project work, particularly with a development focus, may be undertaken in groups. However, the dissertations are produced individually. The project examines the student's ability to research the literature, to understand and expand on a specific problem commensurate with their programme of study and relate it to other work, to carry out investigations and development, as appropriate, and describe results and draw conclusions from them and to write a coherent and well organised dissertation demonstrating the student's individual reflection and achieved learning.
The crowning piece of most Masters degrees is the Masters Project in which you apply a wide range of skills learned in the taught modules to an interesting research problem or practical application of your choice. The Project Research module provides useful transferable skills for doing the project, and supports you in some preparatory tasks such as literature study and project planning.
Email security issues: spam and phishing attacks; spam filtering systems. Spyware: system vulnerabilities; stealth techniques; detection and removal. Web based user tracking and adware. Network security and cybercrime. Data breaches and data loss prevention. Network forensics, network monitoring and packet analysis. Security of WiFi networks.
The module looks at federated identity management, privacy protection, viruses and worms, hacking, secure architectures, formal verification methods, e-mail security, secure software development methods and tools.
Students spend a period working in an industrial or commercial setting, applying and enhancing the skills and techniques they have developed and studied earlier during their MSc programme. The work is undertaken under the direction of their industrial supervisor, but support is provided via a dedicated Placement Support Officer with the School. This support includes ensuring that the work they are being expected to do is such that they can meet the learning outcomes of the module.
Students spend a period working in an industrial or commercial setting, applying and enhancing the skills and techniques they have developed and studied earlier during their MSc programme. The work is undertaken under the direction of their industrial supervisor, but support is provided via a dedicated Placement Support Officer with the School. This support includes ensuring that the work they are being expected to do is such that they can meet the learning outcomes of the module.
Students spend a period working in an industrial or commercial setting, applying and enhancing the skills and techniques they have developed and studied earlier during their MSc programme. The work is undertaken under the direction of their industrial supervisor, but support is provided via a dedicated Placement Support Officer with the School. This support includes ensuring that the work they are being expected to do is such that they can meet the learning outcomes of the module.
Students spend a period working in an industrial or commercial setting, applying and enhancing the skills and techniques they have developed and studied earlier during their MSc programme. The work is undertaken under the direction of their industrial supervisor, but support is provided via a dedicated Placement Support Officer with the School. This support includes ensuring that the work they are being expected to do is such that they can meet the learning outcomes of the module.
Assessment is through a combination of unseen written examinations, written and practical coursework, student presentations, individual and group projects.
The substantial research or development project undertaken for other programmes is assessed by dissertation.
This programme aims to:
You gain knowledge and understanding of:
You develop intellectual skills in:
You gain subject-specific skills in:
You gain the following transferable skills:
The 2021/22 annual tuition fees for this programme are:
Cyber Security with an Industrial Placement - MSc at Canterbury
Cyber Security - MSc at Canterbury
For details of when and how to pay fees and charges, please see our Student Finance Guide.
For students continuing on this programme fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.* If you are uncertain about your fee status please contact information@kent.ac.uk.
The University will assess your fee status as part of the application process. If you are uncertain about your fee status you may wish to seek advice from UKCISA before applying.
Find out more about general additional costs that you may pay when studying at Kent.
Search our scholarships finder for possible funding opportunities. You may find it helpful to look at both:
In The Complete University Guide 2021, the University of Kent was ranked in the top 10 for research intensity. This is a measure of the proportion of staff involved in high-quality research in the university.
Please see the University League Tables 2021 for more information.
In the Research Excellence Framework (REF) 2014, research by the School of Computing was ranked 12th in the UK for research intensity.
An impressive 98% of our research was judged to be of international quality, with 81% of this judged world-leading or internationally excellent. The School’s environment was judged to be conducive to supporting the development of research of international excellence.
Security - of information, systems, and communications - has become a central issue in our society. Interaction between people's personal devices (far beyond just phones and computers) and the rest of the connected world is nearly continuous; and with the advent of the Internet Of Things its scope will only grow.
In that context, so much can go wrong - every communication can potentially be intercepted, modified, or spoofed, and surreptitiously obtained data can be commercially exploited or used for privacy invasions. In fact, data flows in society are such that many people already feel they have lost control over where (their) data goes.
The cyber security research group operates within that context. All members bring a particular technological emphasis - the analysis of particular classes of security problems or their solutions - but are fully aware that it all fits within a wider context of people using systems and communicating data in secure and insecure ways, and how external pressures beyond the mere technology impact on that. The topic of computer security then naturally widens to include topics like privacy, cyber crime, and ethics and law relating to computing, as well as bringing in aspects of psychology, sociology and economics.
From that perspective, the Cyber Security research group played a key role in setting up, and continues to be a core contributor to, the University's Interdisciplinary Cyber Security Research Centre, see www.cybersecurity.kent.ac.uk. The centre achieved EPSRC/GCHQ accreditation as an Academic Centre of Excellence in Cyber Security Research (ACE-CSR) from 2015-2017 and 2018-2022.
The group has a strong involvement with postgraduate teaching in this area. It teaches most of the core modules in MSc programmes in Computer Security, and Networks and Security. A new (from September 2017) MSc Course in Cyber Security has been provisionally certified by GCHQ. The group is also involved in undergraduate modules in this area, as well as postgraduate programmes in other schools such as the MSc Information Security and Biometrics, and in UK activities to define curricula in Cyber Security.
Members are engaged in the following areas of research (research areas in more detail) .
Our research involves all aspects of programming languages and systems, from fundamental theory to practical implementation. The Group has interests across a wide range of programming paradigms: object-oriented, concurrent, functional and logic. We research the links between logic and programming languages, the verification of the correctness of programs, and develop tools for refactoring, tracing and testing. We are interested in incorporating safe concurrent programming practices into language design.
The Group is also interested in practical implementation of programming languages, from massively concurrent parallel processing to batteryoperated mobile systems. Particular research topics include lightweight multi-threading kernels, highly concurrent operating systems, memory managers and garbage collectors.
Research areas include:
This Group brings together interdisciplinary researchers investigating the interface between computer science and the domains of bioscience and cognition. In terms of applying computation to other domains, we have experts in investigating the modelling of gene expression and modelling of human attention, emotions and reasoning. From the perspective of applying biological metaphors to computation, we research new computational methods such as genetic algorithms and swarm intelligence.
The Group also develops novel techniques for data mining, visualisation and simulation. These use the results of interdisciplinary research for finding solutions to computationally expensive problems.
The Group has strong links with other schools at the University of Kent, as well as with universities, hospitals and scientific research institutes throughout the country and internationally.
Areas of research activity within the group include:
Data Science is about developing new techniques to better understand data and draws on many areas within and outside of computer science. Our research group develops and applies methods to interpret rich information sources.Our research comes under three themes:
Full details of staff research interests can be found on the School's website.
Our programmes of study are designed to equip our graduates with the skills and knowledge that make them highly attractive to potential employers, providing a good balance between theoretical studies and real-life applications. The recent REF indicated that the School's research was in the top quartile of 89 Computing departments across the UK. Our graduates therefore benefit from a first-rate academic experience as well as being prepared to face the demands of the economic environment.
Our graduates have gone on to work in:
Recent graduates have gone on to develop successful careers at leading companies such as:
The University has a friendly Careers and Employability Service, which can give you advice on how to:
You can gain practical work experience as part of your degree through our industrial placements scheme - we have a dedicated Placement Team who can give advice and guidance. All our placements are in paid roles.
In previous years, students have worked at a wide range of large and small organisations, including well-known names such as:
You can take your work placement abroad. Previous destinations include Hong Kong and the USA.
An industrial placement gives you invaluable workplace experience, which greatly enhances your employment prospects and also helps put your academic learning into a real-world context.
We provide an extensive support framework for our research students and encourage involvement in the international research community. We have strong links with industry including Cisco, IBM, Microsoft and Oracle.
The School of Computing has a large range of equipment providing both UNIX (TM) and PC-based systems and a cluster facility consisting of 30 Linux-based PCs for parallel computation. New resources include a multi-core enterprise server with 128 hardware threads and a virtual machine server that supports computer security experiments.
All students benefit from a well-stocked library, giving access to e-books and online journals as well as books, and a high bandwidth internet gateway. The School and its research groups hold a series of regular seminars presented by staff as well as by visiting speakers and our students are welcome to attend.
The School of Computing has a makerspace, which offers exciting new teaching and collaboration opportunities. Among other equipment, it contains milling machines, a 3D printer, laser cutter and extensive space for building and making digital artefacts. The School also owns specialist equipment for Internet of Things and media steganography.
Our taught postgraduate students enjoy a high level of access to academic staff and have their own dedicated laboratory and study room. Students whose course includes an industrial placement are supported by a dedicated team which helps them gain a suitable position and provides support throughout the placement.
Strong links with industry underpin all our work, notably with Microsoft, Oracle, IBM, Agilent Technologies, Erlang Solutions, Hewlett Packard Laboratories, Ericsson, Nvidia and Nexor.
All students registered for a taught Master's programme are eligible to apply for a place on our Global Skills Award Programme. The programme is designed to broaden your understanding of global issues and current affairs as well as to develop personal skills which will enhance your employability.
Learn more about the applications process or begin your application by clicking on a link below.
Once started, you can save and return to your application at any time.
T: +44 (0)1227 823254
E: internationalstudent@kent.ac.uk