Computer Science (Cyber Security) BSc (Hons)

Traverse the complexities of the digital landscape while defending against cyber threats. Our computer science (cyber security) programme combines a solid grounding in computing, mathematics, and programming with exploration and application of specialist topics including risk analysis. 

From acquiring sought after employability skills, to the option of spending time in industry, you will graduate with the critical thinking and problem-solving skills required to pursue a career across a variety of sectors.

Why study Computer Science (Cyber Security) at Keele University?

• Accredited by the British Computer Society - The Chartered Institute for IT
• Develop sought after technical skills including Python programming and databases
• Gain hands-on experience of the theoretical and practical fundamentals of cyber security
• Graduate with a named specialism on your degree to highlight your skills to employers
• Enhance your employability with professional skills and the option to spend time in industry 

From ransomware attacks to internet fraud, cybercrime is a rapidly growing global issue, making this specialisation highly sought after in industry. By following the Cyber Security pathway through the degree programme, you will learn how to identify the major types of cybercrime, implement counter-measures to protect against them and explore laws relating to the major forms of cybercrime and cyber security. You will also learn the cyber security competencies required to protect information systems from unauthorised access, harm or misuse and gain practical experience of the theoretical and practical fundamentals required in this field.

Course structure

• Our research-focused programme provides a robust grounding in computational problem-solving, programming and fundamental mathematics to equip you with the skills needed for further study.
• In later years you will build upon these foundational topics, in current and emerging areas of Computer Science, including data science, artificial intelligence, graphics and game development, digital forensics, and software engineering.
• Throughout the programme, you’ll engage with real-world scenarios to enhance your learning. You can spend time in industry with a year-long or modular placement, develop professional, and employability skills and pursue a personal interest in computer science by proposing a project that showcases your knowledge and skills.
• You will also have the opportunity to personalise your degree, by choosing from a variety of optional modules. This gives you flexibility to explore new topics or deep dive into areas you are passionate about.
• In your final year you will unleash your creativity and undertake a substantial piece of research, applying theoretical knowledge and problem-solving skills to a cyber security-related technical, software, research or business-related problem. Your final year project is an excellent opportunity for you to draw together skills in experimental study design, critical interpretation of data, presentation and project management. 

Modules for Computer Science (Cyber Security)

• The module details given below are indicative, they are intended to provide you with an idea of the range of subjects that are taught to our current students. The modules that will be available for you to study in future years are subject to change as we regularly review our teaching to ensure that it is up-to-date and informed by the latest research and teaching methods, as well as student voice. The information presented is therefore not intended to be construed and/or relied upon as a definitive list of the modules available in any given year.

Year 1
Compulsory modules

Introduction to Programming

• This module will introduce you to the fundamental concepts underlying computer programming and computational thinking. You will gain an understanding of problem-solving techniques and learn to implement your ideas using Python. No prior coding experience is assumed. The aim is to get you up to a good standard of coding by the end of the module. There is a strong practical element and several real-world examples. You will attain a solid practical foundation for modules building upon these fundamental concepts. 

Computer Systems and Fundamentals

• You will learn fundamental concepts of computer hardware and software, and achieve a foundation for other computer science modules. You will obtain an overview of computer systems, bridging theoretical concepts with practical applications and gain an understanding of the capabilities and limitations of modern IT. You will see logic design for core hardware components, the architecture of operating systems, essential features of programming languages, a selection of computing applications, hardware design, operating systems, and computational principles like parallelism and caching. 

Mathematical Foundations of Computing

• In this module, you will learn a variety of mathematical problem-solving skills, useful in a range of contexts, but particularly in Computer Science and Data Science. The module assumes no mathematical knowledge above that at GCSE, and is designed to teach you the mathematics needed for further study in various areas of computing. You will gain problem-solving, digital readiness, and basic research skills and techniques, and you will have opportunities to develop creativity and innovation skills.

Introduction to Algorithms

• In this module you will learn to apply a variety of computational problem-solving techniques to solve problems from the real world. You will be introduced to algorithmic design strategies and learn how to analyse an algorithm to determine its correctness and efficiency, to solve problems from a variety of real-world domains. You will learn transferable skills such as interdisciplinary expertise, creativity, and problem-solving.

Object-Oriented Programming

• This module builds upon programming concepts explored in introduction to Programming, by developing problem solving skills in a new programming paradigm, that of object-oriented design. You will learn the theories and principles of modelling real-world problems through object-oriented design for the development of robust, professional, and high-quality software systems. You will put these ideas into practice by learning to program in Java, enhancing your employability. 

Professional Practice in Computing

• This module introduces you to aspects of professionalism and ethics, communication and writing styles: these are also useful transferable skills in science and engineering more generally. The module provides you with important transitional skills that will be built upon in future modules and subsequent careers. The module provides guidance on enhancing employability skills, and advice on working in teams. Delivery of the module will include workshop activities providing you with opportunities to work individually or as part of a team, and involvement with careers and the library via guest lectures. 

Optional modules
Cybercrime

• This module allows you to actively engage in the digital society, with an understanding of risks that can be encountered, and measures that can be taken to counteract them, both in an individual and a collective business context. You will learn various types of cyber-crime, and see how to implement practical counter-measures to protect against them, alongside the use of tools that can be used for digital evidence gathering. You will develop your global awareness, sustainability and digital readiness skills. 

Year 2
Compulsory modules
Database Systems

• Databases and database management systems are an integral part of any computing application that needs to store data and manage its transactions efficiently. This module introduces you to databases and database management systems by providing theoretical knowledge and practical experience in data modelling, database design, implementation and administration. The module explores essential topics in data management including database security and how databases are integrated with other technologies, especially the Web, for enhanced user interfaces, ease of data access and distribution.

Web Technologies

• This module provides the knowledge and skills necessary to enable you to develop multi-tier web applications. It aims to provide you with an understanding of Internet communication architectures (such as client-server) regarding standard protocols and to enable the development of web applications and the configuration of the servers on which they rely. This module is hands-on and supported by practicals about different web technologies. Transferrable skills include independent and self-directed learning, creativity and innovation, and reflective practice.

Data Science Techniques

• Data Science is becoming an increasingly important topic, bordering Computer Science and Mathematics, and with applications in many areas of everyday life. You will learn to apply processes and techniques to extract essential information from raw data, allowing it to be analysed to discover meaning from the data and allowing it to inform decision-making. You will be introduced to concepts of ethics and security related to the collection, storage and dissemination of data. 

Human-Computer Interaction

• In this module you will learn and apply the underlying concepts and principles of interface and interaction design for a variety of devices. This will include current industry standard areas of user-centred design such as persona, scenarios, card sorting and requirements elicitation, as well as general usability evaluation techniques. You will also learn about visualisation, creativity, HCI guidelines and the sensory, cognitive and physical capabilities of users. This will culminate in the completion of a design portfolio and design solution to an authentic scenario.

Software Engineering

• This module will provide you with up-to-date knowledge and practice of industry standard techniques and processes to undertake team-based development of software and digital products. The module gives hands-on experience of agile software engineering in a self-organising team and the opportunity to compare theory and practice. The module is delivered via a combination of weekly workshops, directed reading and viewing and guest talks from industry professionals. Previous speakers have been from companies such as the BBC, Microsoft, Capgemini and Accenture.

Computational and Artificial Intelligence I

• This module will provide you with an introduction to the core computational intelligence topics of evolutionary algorithms and neural networks, and some of the similarities and differences between natural and synthetic intelligent systems. You will gain an appreciation of how AI is used in many real-world scenarios, both within the UK and internationally

Optional modules
Individual Study Topic in Computer Science

• Computer Science is multi-faceted and rapidly changing, with new and niche topics on the periphery of the standard curriculum. This module gives you the opportunity to pursue supported independent learning and practice of new skills that are not otherwise incorporated into the curriculum.  You will apply self-directed learning and creativity, learn various communication skills when creating a poster and presentation, and gain research and time management skills.  

Computer Graphics and Animation

• In this module you will learn the fundamental concepts and techniques that underpin computer graphics and animation. You will learn how to create 2D and 3D graphics, and how to time and control animations and visual effects. The module will be delivered by weekly lectures and practical sessions where you will put theory into practice and develop the skills related to creating and composing graphics and animations.

Computer Games Development

• You will learn the fundamental concepts of designing and implementing simple and intermediate level text-based, and 2D computer games, in a modern programming language. You will see how to break down the development of a computer game into subcomponents and see how these can be connected together and implemented independently. You will have an opportunity to demonstrate and reflect on the creativity and innovation skills that you have acquired. 

Flexible Work Placement (Level 5) 

• In a competitive job market, practical skills and understanding workplace dynamics are crucial.  This module allows you to gain hands-on experience, enhancing your employability, and the opportunity to gain valuable professional insights via a 75-hour placement. You will be supported by various activities to secure a role and can source your own placement or apply to university-sourced roles.  This module offers flexibility on when and how you complete your placement, enabling you to balance your placement around existing demands.

Year 3
Compulsory modules
Computer Science Project

• You will undertake an individual project across two semesters. The module enables you to apply theoretical knowledge and problem-solving skills to a technical, software, research or business problem, potentially on real-world industrial inspired problems. You will be allocated an academic supervisor, providing guidance alongside taught lectures. You will develop essential transferrable skills including self-directed learning, critical thinking, reflective practice, communication, adaptability, and time management. If you are on a bracketed pathway, you must choose a project related to that specialism.

Cyber Security

• You will learn the necessary cyber security competencies to protect vital information systems, and their data and services, from unauthorised access, harm or misuse. You will also learn how to keep up-to-date with new recommendations and practice in this volatile and constantly evolving area. You will also gain an appreciation of other important areas such as legal factors, management of systems, risk analysis, and social and human factors.   

Optional modules
Machine Learning Applications

• In this module you will receive in-depth training in the use of machine learning tools and techniques that can be used to analyse real world data and to deliver valuable insight that can be used to provide business services. You will learn about ethics, integrity and working in a global sector.  

Advanced Programming and Software Design 

• This module provides a deeper understanding of object-oriented programming and concurrent programming. You will learn to apply common design patterns to effectively structure software projects, apply the programming language structures to guarantee appropriate synchronisation of concurrent code and enforce mutually exclusive access to shared data, and analyse the fundamental issues that need to be addressed due to the application of concurrent patterns. You will gain familiarity with industry-relevant skills like using version control systems, unit testing and continuous integration tools.

Software Development Management

• This module provides you with a comprehensive foundation in software development management and its process. This will cover the skills needed to manage software products and their quality. The module also explores modern development techniques such as API and microservices testing and Test-Driven development. You will be able to apply software testing and planning to real-world scenarios and systems. You will also gain familiarity with industry-relevant skills like using built-in API clients, and performance testing tools.

Programming for Virtual Worlds

• You will learn the skills and techniques to create virtual worlds in 3D, using modern games engines such as Unity. As part of the assessment you will design and implement a game level, and program it with interactivity or artificial intelligence. You will gain an opportunity to showcase your creativity and innovation, and gain digital readiness and research skills.  

Professional Experience in Education

• This module allows undergraduates to gain academic credit for their work in schools and colleges. The undergraduate will develop a range of skills and be presented with an opportunity to experience an early taste of teaching for those interested in pursuing teaching or training as a career. The undergraduate will work in a school or college for a total of 64 hours, to be agreed between the placement host and student.  The timing of the placement is flexible to support students’ home, study and work life balance, and to meet the needs/requirements of the placement host, but ideally within a concentrated block rather than dispersed over the whole year. Suggested options include 8 × 8-hour (whole day) sessions, or 16 × 4-hour (half day) sessions. Students will have the flexibility to source their own placement, a useful skill for seeking out future employment opportunities, but also can apply for a range of roles sourced by the university.

Flexible Work Placement (Level 6)

• In a competitive job market, practical skills and understanding workplace dynamics are crucial.  This module allows you to gain hands-on experience, enhancing your employability, and the opportunity to gain valuable professional insights via a 75-hour placement. You will be supported by various activities to secure a role and can source your own placement or apply to university-sourced roles.  This module offers flexibility on when and how you complete your placement, enabling you to balance your placement around existing demands.

Advanced Databases and Applications

• The core aim of this module is to provide an advanced understanding of database techniques and current issues associated with database deployment. It enables you to develop a detailed and coherent knowledge of distributed database architectures, including techniques for semantic interoperability (schema homogenisation, data integration, query optimisation, and distributed transactions control) between heterogeneous data models and legacy information systems. Data warehousing concepts, architecture, analytical processing techniques and data mining are also covered as one of the distributed database applications.

Communications and Networks

• This module extends your knowledge of principles and practice in communications, computer network, and security technologies and their deployment. Learning about fundamental concepts is complemented by practical activities such as analysing network packets, developing network applications, designing computer networks and cryptography. The module provides valuable transferable skills in critical thinking and problem solving. The module content is applicable to those seeking careers in computing research, network security, network management and other digital communication and network areas.

Advanced Web Technologies 

• Modern multi-tiered web applications are developed with a wide range of techniques, libraries, languages, and tools. This module will teach you the necessary skills to develop such applications that can be used in a variety of settings, from small-scale web apps, to larger multi-tiered web apps serving thousands of clients. You will gain the knowledge to develop robust, distributed, and secure systems, that can withstand the high demands of today’s highly interconnected world.

Computational and Artificial Intelligence II

• This module will expand on the range of computational intelligence (CI) themes, and complementary Artificial Intelligence topics, introduced earlier in the degree. Importantly, the module will allow you to explore in greater depth, selected research-led topics at the forefront of current thinking in the rapidly evolving CI field. After completing this module, you can potentially pursue further research in industry or in education (e.g. as an MSc or PhD student).

Data Ethics and Security

• Writing efficient and correct code and learning practical skills are just some of the required skills of a Computer Science or Data Science professional. Alongside these skills, an appreciation of relevant ethics, regulations, governance frameworks and standards must be understood, both in a theoretical and practice sense. This module will help you to appreciate, debate, and apply these ideas, within the UK  and globally. You will be assessed on a portfolio of case studies with practical and theoretical components.  

Work placements

• In an increasingly competitive job market, employers are seeking to recruit employees who have high-level knowledge, skills and an understanding of the workplace. In between year two and three of your studies, there is the opportunity to undertake a placement, gaining valuable practical experience. This will enable you to apply the skills and theories you have learnt to real situations in the industrial workplace and enhance your employability. 
• Throughout your placement you will be supported by an academic advisor and a placements and project manager, who is based in the School of Computer Science and Mathematics. 
• If you don't think you can commit to a full year on placement, our Flexible Work Placement module has built-in flexibility on when and how you complete your placement, enabling you to balance your time in industry around existing demands.
• We also offer work placements based in schools and colleges, specifically for students interested in entering the teaching profession. 

Study abroad

• In between year two and three of your studies you can choose to spend a year or a semester studying abroad. This exciting opportunity enables you to understand your field from different cultural perspectives and to establish international networks. It also shows you have the personal attributes to embrace new experiences which can enhance your employability. We offer exchange opportunities with a wide variety ofpartner institutions.
• You will graduate with a wide variety of subject specific and transferrable skills across many areas including problem solving, computational thinking, team working, management and modelling.
• By following the cyber security pathway, you will learn competencies required to protect information systems (hardware, software and associated infrastructure), the data on them, and the services they provide, from unauthorised access, harm or misuse.
• You will develop practical experience of the theoretical and practical fundamentals of cyber security, as well as other important areas such as legal, management, crime, risk, social and human factors.
• The opportunities for graduates with computing skills are continuously growing. Many of our graduates move into employment that is directly computing-related, whilst a number of graduates go on to study for higher degrees in a wide range of subject areas.

Jobs that a graduate of this course may pursue include:

• Consultant
• Cyber security analyst
• Data scientist
• Information systems manager
• Research scientist
• Software engineer
• Web/App developer

Research

• Keele is at the forefront of research and our academics in Computer Science are internationally recognised leaders in research on synthetic biology, wearable technologies, health and cultural informatics, responsible artificial intelligence, computer vision, evolutionary robotics, automata theory, formal language, and theory of computation.
• We focus on research that has the potential to create a significant impact on the computational understanding and engineering of complex systems, to improve people’s quality of life and to pave the way for world leading innovations that improve the security, reliability and quality of computing devices and services used in industry.
• Keele is also in the unique position of hosting the first living laboratory for energy-efficient technologies: the multi-million-pound Smart Energy Network Demonstrator (SEND). Our expertise feeds into modules in the latter years of your degree.

Research themes within our computer science division include:

• Artificial Intelligence
• Future Systems
• Human-Centred Computing
• Theoretical Computer Science