Computer Science (Cyber Security) with an Industrial Placement - MSc

Postgraduate Open Events

Come and meet us at our Postgraduate Open Event on Wednesday 22 February 2023.

In a world with more smart devices than people and an increasing reliance on connectivity across the Internet, cyber threats are a growing concern for organisations, governments and individuals. Acquiring skills in Cyber Security has, therefore, become an advantage for a range of professions and roles across different sectors and disciplines.

Overview

For those with prior knowledge of computer science, see our specialist MSc Cyber Security course.

Overview

The Computer Science (Cyber Security) conversion course will give you the opportunity to establish a foundation in cyber security from technical and multidisciplinary perspectives. This is a conversion course intended for graduates with little or no prior knowledge of computer science. For those with prior knowledge of computer science, see our specialist MSc Cyber Security course.

Cybercrime is a growing threat to society, democracy and organisations with increasing high profile cyber security cases in the news. This conversion course has been designed to meet the demands of organisations seeking to protect valuable data. This course will provide you with the key skills and knowledge in computer science and systems security to enhance your career prospects in identifying and solving complex security problems.

The University of Kent is recognised by the British Government as being an Academic Centre of Excellence in Cyber Security Research, meaning you will be taught by staff who are top researchers in this area.

Gain workplace experience

This course includes an industrial placement of between eight and 50 weeks. This provides an opportunity to work in real-world, technical and business roles, enhancing your study experience and having a dramatic impact on your choices after graduation. Our dedicated placement team help you gain a suitable paid position and provide support throughout.

About the School of Computing

Our world-leading researchers, in key areas such as cyber securityprogramming languagescomputational 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.

Think Kent video series

Computers are good at mechanical tasks but can they be creative? In this talk, Dr Anna Jordanous looks at why we would want to study computers being creative and what we can learn from this work.

*The University of Kent's Statement of Findings can be found here

Entry requirements

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. 

International students

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.

English language entry requirements

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. 

Need help with English?

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.

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Course structure

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.

Modules

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.

Compulsory modules currently include

This module will aim to familiarise students with core concepts (e.g. Locard's exchange principle, and legal admissibility of digital evidence) and best practices (e.g. the ACPO Good Practice Guide for Digital Evidence, Contemporaneous Notes taking, and the SWGDE guidelines) underpinning digital forensic investigations. It introduces methodologies that guide the digital investigative process (i.e., collection, interpretation, analysis and reporting), and key techniques that can be applied for interpretation and analysis of digital evidence in the context of digital forensics in general (e.g., hashing, and file carving), computer forensics (e.g., windows registry analysis and metadata analysis), and multimedia forensics (e.g., multimedia source analysis for device identification, and multimedia content analysis for forgery detection).

The module also discusses challenges faced by digital forensics due to the increasing volume and diversity of data sources involved in investigations.

Find out more about COMP8230

This module investigates the whole process of information security management and associated activities including the concepts used and practices prescribed by relevant standards, such as those defined by ISO/IEC. A holistic view of information security management is taken, including risk management, the formulation of security policies, business continuity and resilience. Selected socio-technical topics that are important for information security management will also be covered. These shall include AAA (authentication, authorisation and accountability), important legal aspects especially data protection and privacy laws, data protection impact assessment, usability analysis and management, wider human factors in cyber security such as social engineering attacks and the importance of a positive cyber security culture for encouraging secure behaviours of employees and users.

Find out more about COMP8340

This module covers the fundamental components (hardware and software) of a typical computer system, and how they collaborate to execute programs. The module provides a comprehensive overview, from the lowest level of abstractions in hardware to the highest level of abstractions of modern programming languages. Examples of topics that may be covered include logic circuits, machine language, processor organization, memory management, processes and concurrency, file systems. Throughout, special attention is paid to abstraction, performance, and other quality requirements.

Find out more about COMP8830

Optional modules may include

This module provides an introduction to human-computer interaction, user experience and a range of UX practices (UX - user experience - the study and practice of how people, individually and in groups, experience technologies and other artefacts, and interact with and through them.)

Fundamental aspects of human physiology and psychology are introduced and key features of interaction and common interaction styles delineated. A variety of design methods and UX practices are introduced (e.g. task-based usability testing, think-aloud protocols, first-use experiences, eye-tracking and post-session questionnaires). Throughout the course, the need for a professional, integrated and user-centred approach to interface development and evaluation is emphasised: rapid and low-fidelity prototyping feature as one aspect of this.

Find out more about COMP5820

The module focuses on teaching the foundations of language-based security including but not limited to the use of formal logics, type systems, process calculi and proof carrying code for reasoning about the security properties of programs.

Find out more about COMP6640

This module covers the basic principles of machine learning and the kinds of problems that can be solved by such techniques. Students will learn about the philosophy of AI, how knowledge is represented and algorithms to search state spaces. The module also provides an introduction to both machine learning and biologically inspired computation.

Find out more about COMP8250

This module explores a range of different data mining and knowledge discovery techniques and algorithms. You learn about the strengths and weaknesses of different techniques and how to choose the most appropriate for any particular task. You use a data mining tool, and learn to evaluate the quality of discovered knowledge.

Find out more about COMP8320

The module will cover a mixture of theoretical and practical topics in the area of mobile devices and the Internet of Things (IoT), that is, the use of Internet technologies to access and interact with objects in the physical world. This will include coverage of the range of sensor and actuator devices available, ways in which they communicate and compute, methods for getting information to and from IoT-enabled devices, ways of visualising and processing data gained from the IoT, and associated privacy and security issues. Application development for mobile devices such as smartphones will also be introduced using a popular mobile platform.

Find out more about COMP8380

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.

Find out more about COMP8410

This module provides for well-qualified computer science students entering the MSc programme from a range of backgrounds. These students will have good programming skills but will not necessarily have used Java or another object-oriented language extensively. This module seeks to ensure that students have the Java and object-oriented design skills necessary for the rest of their programme.

Find out more about COMP8710

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 and network security protocols. Real time data transmission and quality of service. Naming and addressing and related security concerns. Security of IEEE 802.11 networks.

Find out more about COMP8740

This module provides an introduction to object-oriented programming using the popular Java language. It is designed for beginners who have not studied computer programming before. By the end students will be able to develop simple programmes using Java.

Find out more about COMP8810

Building upon Introduction to Object-Oriented Programming, this module covers the design and implementation of high-quality software using OO techniques. Systems are modelled as configurations of objects communicating with one another. Techniques (e.g. inheritance) are introduced which allow objects to play different roles within a system. These two concepts are key to the support for adaptation and reuse that OOP provides. Much emphasis will be placed on gaining a deep understanding of these concepts and applying them in practice by developing programs in Java. The remainder of the module will explore software component frameworks, specifically those that come packaged with Java, placing most emphasis on the frameworks to support the structuring and manipulation of data (data structures and algorithms).

Find out more about COMP8820

This module aims to strengthen the foundational programming-in-the-small abilities of students via a strong, practical problem-solving focus. Specific topics will include introductory algorithms, algorithm correctness, and algorithm runtime. Essential data structures and algorithmic programming skills will be covered, for example, arrays, lists and trees, searching and sorting, recursion, and divide and conquer. One part of the module will also introduce students to logical formalisms such as propositional and predicate logic and some of their applications in program development.

Find out more about COMP8840

• Software processes.

• Modelling techniques, and the use of these techniques throughout the project lifecycle.

• Introduction to modelling principles (decomposition, abstraction, generalization, projection/views) and types of models (information, behavioural, structural, domain and functional).

• Risk and risk management in software.

• Approaches to software testing and inspection.

• Approaches to software configuration management.

• Software engineering tools: configuration control, project management, integrated development environments and modelling tools

Find out more about COMP8860

Web-based information systems form the heart of e-commerce. They are also increasingly the way businesses handle all their information needs. Building such systems requires an understanding of up-to-date tools and technologies such as web page creation, client side programing, server side programming and databases; it also calls for an understanding of how to design systems that genuinely meet user and business needs.

Find out more about COMP8870

The focus of the module is on the development of the advanced English language competence necessary for post graduate study in scientific disciplines. This includes the ability to interpret and evaluate authentic scientific texts; analyse, discuss and summarise written and visual information both in writing and orally; organise written texts effectively and submit them in grammatically accurate English, and present the results of research orally in a coherent and stimulating way.

Find out more about ENLA6001

This module provides an overview of the degree to which cyberspace continues to revolutionise the operations of both state and non-state actors, and the challenges of governing this 'fifth sphere' of power projection. Whilst this module is not entrenched in International Relations or Security Studies theory, students will have the opportunity to apply both traditional and non-traditional approaches to the politics of cyberspace. Key themes include: 21st century technology, cyber warfare, espionage, surveillance, deterrence theory, cyberterrorism, and representation of threatening cyber-entities. Students will develop a toolkit to critique the existing state and NGO-based governance regime for cyberspace, and will convey arguments both for and against a ‘Geneva Convention’ for cyberspace.

Find out more about POLI8114

This module provides students with an understanding of contemporary cybercrime, its implications and its sociological meanings. It examines how cybercrime functions, how it relates to wider criminological debates and theories, and how it raises challenges in our understanding of the nature of crime, criminality, crime control and policing. Students will become familiar with cutting edge research and theories in the field of cybercrime, and debates that are developing both within the UK and across the world. By focusing on the differing levels of both action and actors, this unit will provide a holistic and nuanced understanding of these vital contemporary challenges facing society. This module equips students with the necessary theoretical and practical tools and modes of social enquiry to make sense of an increasingly digital and networked world.

Find out more about SOCI7600

Compulsory modules currently include

The project consists primarily of an extended period during which students undertake a substantial piece of work and a report on this in the form of a dissertation. It is usually preceded by an exploratory stage in which students review and summarise relevant literature or other technical background, and gain specific skills relevant to their project via a series of taught workshops. It may be permitted to undertake the work in groups, particularly for projects with a development focus. However, the dissertations are produced individually. The project examines the student's ability to research technical background, 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), to 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.

Find out more about COMP8800

Students spend a period working in an industrial, commercial, public sector or similar 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 by the CEMS Employability and Placements Team. 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.

Participation in the placement year, and hence in this module, is dependent on students obtaining an appropriate placement, for which support and guidance is provided through the CEMS Employability and Placements Team. It is also dependent on satisfactory achievement in their academic studies.

Students who do not obtain a placement will be required to transfer to the appropriate course without an Industrial Placement.

Find out more about COMP9020

Optional modules may include

Students spend a period working in an industrial, commercial, public sector or similar setting, applying and enhancing the skills and techniques they have developed and studied in the earlier during their MSc programme. The work is undertaken under the direction of their industrial supervisor, but support is provided by the CEMS Employability and Placements Team . 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.

Participation in the placement year, and hence in this module, is dependent on students obtaining an appropriate placement, for which support and guidance is provided through the CEMS Employability and Placements Team. It is also dependent on students progressing satisfactorily in their studies.

Students who do not obtain a placement will be required to transfer to the appropriate course without an Industrial Placement.

Find out more about COMP9150

Students spend a period working in an industrial, commercial, public sector or similar setting, applying and enhancing the skills and techniques they have developed and studied in the earlier during their MSc programme. The work is undertaken under the direction of their industrial supervisor, but support is provided by the CEMS Employability and Placements Team . 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.

Participation in the placement year, and hence in this module, is dependent on students obtaining an appropriate placement, for which support and guidance is provided through the CEMS Employability and Placements Team. It is also dependent on students progressing satisfactorily in their studies.

Students who do not obtain a placement will be required to transfer to the appropriate course without an Industrial Placement.

Find out more about COMP9160

Students spend a period working in an industrial, commercial, public sector or similar setting, applying and enhancing the skills and techniques they have developed and studied in the earlier during their MSc programme. The work is undertaken under the direction of their industrial supervisor, but support is provided by the CEMS Employability and Placements Team . 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.

Participation in the placement year, and hence in this module, is dependent on students obtaining an appropriate placement, for which support and guidance is provided through the CEMS Employability and Placements Team. It is also dependent on students progressing satisfactorily in their studies.

Students who do not obtain a placement will be required to transfer to the appropriate course without an Industrial Placement.

Find out more about COMP9170

Students spend a period working in an industrial, commercial, public sector or similar setting, applying and enhancing the skills and techniques they have developed and studied in the earlier during their MSc programme. The work is undertaken under the direction of their industrial supervisor, but support is provided by the CEMS Employability and Placements Team . 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.

Participation in the placement year, and hence in this module, is dependent on students obtaining an appropriate placement, for which support and guidance is provided through the CEMS Employability and Placements Team. It is also dependent on students progressing satisfactorily in their studies.

Students who do not obtain a placement will be required to transfer to the appropriate course without an Industrial Placement.

Find out more about COMP9180

Teaching

Teaching and assessment

Assessment is through a mixture of written examinations and coursework, the relative weights of which vary according to the nature of the module. The final project is assessed by a dissertation.

Fees

The 2023/24 annual tuition fees for this course are:

  • Home full-time £9500
  • EU full-time £16400
  • International full-time £21900

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.

Your fee status

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.

Additional costs

General additional costs

Find out more about general additional costs that you may pay when studying at Kent. 

Funding

Search our scholarships finder for possible funding opportunities. You may find it helpful to look at both:

We have a range of subject-specific awards and scholarships for academic, sporting and musical achievement.

Search scholarships

Independent rankings

In the Research Excellence Framework (REF) 2021, 100% of our Computer Science and Informatics research was classified as either 'world-leading' or 'internationally excellent' for impact.

Research

Research areas

Computational Intelligence Group

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:

  • bio-inspired computing including neural networks, evolutionary
  • computing and swarm intelligence
  • application of computational simulations in biology and medicine
  • systems biology including gene expression modelling
  • theory and application of diagrammatic visualisation methods
  • data mining and knowledge discovery
  • construction of computational models of the human cognitive and neural system.

Programming Languages and Systems Group

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 battery-operated mobile systems. Particular research topics include lightweight multi-threading kernels, highly concurrent operating systems, memory managers and garbage collectors.

Research areas include:

  • theoretical and architectural questions concerning designs for both hardware and software
  • abstractions and implementations of concurrency in programming languages
  • formal specification of systems and their architecture
  • design patterns and tools for enabling the safe and scalable exploitation of concurrency
  • compilers, memory managers and garbage collectors
  • lightweight multi-threading kernels and highly concurrent operating systems
  • refactoring of functional and concurrent languages
  • applications of formal methods to provably correct, secure systems
  • model checking and abstract interpretation, including applications to discovering security vulnerabilities
  • program verification and theorem proving

Cyber Security Research Group

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 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.

Areas of Research Activity

Members are engaged in the following areas of research (research areas in more detail) .

Data Ethics and Privacy

  • Identity Management
  • Blockchain and Distributed Ledger Technology
  • Human Aspects of Security
  • Cloud Security
  • Self-Adaptation applied to Security and Privacy
  • Tools for Vulnerability Analysis
  • Trust Management and Metrics and Reputation Systems
  • Steganography and Steganalysis
  • Formal Methods for Cryptography
  • Quantum Computation and Information, with Security Applications 
  • Authentication
  • Internet Of Things Security and Privacy
  • Cybercrime
  • Authorisation Infrastructures

Data Science Research Group

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:

eHealth

  • Dr Caroline Li gathers and analyses EEG data for the study of seasonal affective disorder.
  • Dr Palani Ramaswamy has worked on biological signal analysis, brain-computer interfaces and biometrics. He has applied machine learning techniques to these and other fields.

Systems

Careers

Graduate destinations

Our graduates have gone on to work in:

  • software engineering
  • mobile applications development
  • systems analysis
  • consultancy
  • networking
  • web design and e-commerce
  • finance and insurance
  • commerce
  • engineering
  • education
  • government
  • healthcare. 

Recent graduates have gone on to develop successful careers at leading companies such as:

  • BAE Systems
  • Cisco 
  • IBM
  • The Walt Disney Company
  • Citigroup 
  • BT.

Help finding a job

The University has a friendly Careers and Employability Service, which can give you advice on how to:

  • apply for jobs
  • write a good CV
  • perform well in interviews.

You have access to a dedicated Employability Coordinator who is a useful contact for all student employability queries.

Industrial placements

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:

  • Accenture
  • BT
  • GSK
  • IBM
  • Kent Police
  • Microsoft
  • Morgan Stanley
  • The Walt Disney Company.

You can take your work placement abroad. Previous destinations include Hong Kong and the US.

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.

Study support

Postgraduate resources

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.

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.

Dynamic publishing culture

Staff and research students publish regularly and widely in journals, conference proceedings and books. Among others, they have recently contributed to: Journal of Artificial Evolution and Applications; International Journal of Computer and Telecommunications Networking; Journal of Visual Languages and Computing; Journal in Computer Virology.

Links with industry

Strong links with industry underpin all our work, notably with Cisco, Microsoft, Oracle, IBM, Agilent Technologies, Erlang Solutions, Hewlett Packard Laboratories, Ericsson and Nexor.

Global Skills Award

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.

Apply now

Learn more about the application process or begin your application by clicking on a link below.

You will be able to choose your preferred year of entry once you have started your application. You can also save and return to your application at any time.

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