BSc (Hons) Computer Science

This module integrates the subject material studied in other level 4 and 5 modules and gives students experience of developing a software artefact in a team. Working effectively as part of a team is a key skill in the modern world of software development and IT. You will learn about team roles, collaboration techniques, software development techniques, project management tools and techniques, documentation, the commercial and economic context of development and information security.

A full stack developer is a person who develops both front end and back-end software. This module introduces you to a range of tools and techniques for full stack web development. The lecture material covers the technologies involved in the production and support of secure, dynamic websites using a server-side scripting language and a database. They also code the design and implementation of a front-end interface. During workshop sessions, you have the opportunity to practice lecture-taught material to develop your own website.

This module introduces students to the core principles of object-oriented design and programming, using industry methods and techniques to model, analyse, design, and develop software solutions. Students will build upon foundational programming knowledge to explore advanced concepts, such as encapsulation, inheritance, and polymorphism, through the lens of the Java programming language. Key industry-standard methodologies, including version control, testing, and software documentation, will be explored. A special focus will be placed on integrating modelling practices, to design system architectures and visualize object-oriented structures effectively. Additionally, students will address security considerations in software design to ensure robust and resilient systems.

This module explores a range of cloud technologies and culminates in a system being developed for and deployed to cloud infrastructure.

This is a technically orientated module where you will learn the principles of a modern networked environment, and how this extends to the internet. It is a practical orientated view of networks with many opportunities to set up and configure typical network equipment such as switches and routers as used in real networks.

This module provides an overview of various tools, techniques and applications of artificial intelligence. Through a series of lectures and workshops students will have the opportunity to examine the technologies and implement a practical software AI solution.  The student's portfolio will also offer the chance to research current innovations in the subject and understand why AI is considered to be a disruptive technology.

This module looks at different data processing and mining techniques and state-of-the-art data processing and mining tools. The topics include: introduction to data mining and knowledge discovery process, data collection and processing with various data types from variety of sources, social web mining. You will look at a variety of techniques and trends in data mining.

Learn how to create games and interactive applications/experiences using an industry standard programming language, game engine and formal development process. You will develop skills in topics, such as (indicative list): games/app programming, input, physics and animation systems in a game engine, artificial intelligence (AI) for games/apps, mathematics for games/apps and interactive game/app design.

In this module you will start by looking at the Professional issues related to working in the Computing and IT industry. You will consider professional conduct and the social, legal and ethical implications related to the profession – in-line with BCS guidelines. In the first semester you will also start to consider the subject of your final year project. Following discussions with staff members you will produce a project proposal document and start a literature review on your chosen topic. You will be assigned a project supervisor who will meet with you at regular intervals to provide you with feedback on your work as it progresses. In your second semester you will continue to work individually on the main part of your final year project with regular meetings with your supervisor. This supervisor plus another member of staff will assess your project.

This module builds on your full-stack development journey from the second year by providing an in depth understanding of full-stack web application development and emphasises the importance of architectural patterns and Service Oriented Architectures in full-stack Web Development. It also takes a look at current and emerging full-stack web development technologies.

This module builds on your games and interactive application development journey from the second year by providing an in depth understanding of more sophisticated game and interactive application development topics and related technologies. You will develop skills in topics, such as (indicative list): artificial intelligence (AI) for games/apps, multiplayer games/apps, mobile games/apps, mathematics for games/apps and games/app programming.

This module focuses students on the current and emerging area of artificial intelligence and machine learning in both domestic and commercial life. Areas covered vary on research interests, but may include Robotics, Digital Entertainment and Industries, such as Automotive and Supply chain. Students will be able to focus on a portfolio of work in their chosen course area supported by lectures and supporting tutorials.

Intelligent systems are advanced computer system that use artificial intelligence (AI) to perceive and respond to the world around them. The aim of intelligent systems is to automate intelligent behaviours that traditionally only human beings have been able to perform. Intelligent systems can take many forms, such as autonomous vacuum cleaners, robot delivery drones and personalized suggestions on web sites. They can fill many roles in society, such as factory automation, medical care, education, recognition, and transportation. This module provides you with an understanding of intelligent system theory and concepts and an awareness of the issues involved in creating intelligent systems. You will also have the opportunity to develop intelligent systems.

This module focuses on the design, implementation, and testing of applications for mobile environments. It gives you a good understanding of the issues, tools, techniques, and technologies involved. It also gives you approaches to handling these issues, and the skills necessary in developing for contemporary mobile computing platforms. The module also provides an awareness of the security issues involved when developing mobile applications.

The module aims to prepare you for a career in software development by first equipping you with theory and knowledge of Software Engineering and coupling it with practical application of current techniques. The first part of the module aims to mimic a task similar to that faced by many software engineers in their first job. The task involves the maintenance and extension of a legacy system and includes reverse engineering, automated regression testing and the application of refactoring and design patterns. The second part of the module aims to make you aware of emerging techniques and technologies. Two topics that are of current interest will be focussed and may vary over different runs of the module. Example topic areas include Domain Specific Languages, Quantum Computing, Static Code Analysis.