MComp (Hons) Computer Science Bachelor's degree at Keele University

This module introduces you to aspects of professionalism and ethics, communication, teamworking, 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.

This module introduces the core mathematical and algorithmic principles that underpin Computer Science, enabling you to model, analyse, and solve real‑world computational problems. You will learn to work with abstract data structures such as sets, relations, functions, and graphs to represent complex scenarios, apply basic statistical techniques to summarise and interpret data, and develop algorithmic thinking to approach problem-solving systematically.

In the first part, the module introduces the fundamental concepts underlying computer programming, together with techniques for applying these using Python. The module has a strong practical element. In the second part this module teaches students modern programming practices in a different paradigm than they study in Introduction to Programming.

This module will enable you to actively engage in the digital environment/e-society with an understanding of the risks you will encounter and the measures that may be taken to counteract them. The module will also help you to acquire a firm understanding of the technologies that underpin today's digital information society.

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.

This module provides a comprehensive introduction to web technologies and databases, equipping students with the practical and analytical skills to design, develop, secure, and deploy modern web applications with robust data-driven backends.

This module integrates principles and practices from software engineering and human-computer interaction (HCI) to provide a comprehensive exploration of the processes involved in designing, developing, and evaluating interactive software systems.

This module will provide students with an introduction to artificial intelligence. Topics will including neural networks, deep learning, evolutionary algorithms and neuroevolution.

An opportunity to pursue a personal interest in computer science, learning and applying programming and technical skills that complement and extend those taught within the curriculum, under guidance from a staff member.

This module introduces cloud technologies and distributed computing, focusing on both principles and practical applications. You will explore big data technologies like Hadoop and NoSQL databases and gain hands-on experience with cloud platforms such as Amazon Web Services.

This module provides students with an introduction to computer graphics and animation; and with appropriate programming and media development skills to design and develop animated media.

This module enables students to integrate and apply theoretical knowledge and problem-solving skills to a relatively large or complex technical, software, programming, research or business problem within the discipline.

This module provides an advanced understanding of database techniques and the contemporary issues involved in deploying modern database systems. It aims to equip students with the knowledge and skills needed to develop secure, distributed, multi‑tier web applications using current and emerging technologies.

This module provides a deeper understanding of object-oriented programming and the concept of concurrent programming, using Java as a working language.

This module will expand on the range of artificial intelligence themes introduced earlier in the degree. It will allow students to explore in greater depth, selected research-led topics at the forefront of current thinking in the rapidly evolving field of AI.

This module gives students interested in pursuing teaching or training as a career the opportunity to gain experience in the world of teaching in schools, colleges and other educational settings.

An opportunity to pursue a personal interest in an advanced topic in computer science, and to learn and apply programming and technical skills that complement and extend those taught within the curriculum, under guidance from a staff member.

Cybersecurity sits at the heart of today's interconnected world, where every organisation faces complex and evolving digital threats. This 30-credit module gives you the knowledge, practical skills, and professional insight needed to meet those challenges with confidence.

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.

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.