Foundation of Computer and IT Systems

The module introduces the concepts, terminology, sub-fields, and history of computer science, whilst encouraging students to develop academic skills in reading, writing, research, and presentation. Module content includes topics such as: history of computing, theoretical foundations of computing, number systems, introduction to algorithms and data structures, microprocessors, machine/assembly language, computer architecture, operating systems, compilers and interpreters, software, hardware and networks.

Logic & Discrete Mathematics

The module introduces mathematical concepts and methods which are highly applicable to computing, such as: set theory, Boolean algebra, logic, differential and integral calculus, linear algebra, graph theory, numerical analysis and iterative methods.

Programming

This module introduces the fundamental principles, concepts and practices of computer programming, with an emphasis on the design, implementation and testing of software applications. Practical work is undertaken using Python, one of the most widely used programming languages in both industry and the scientific community. Students develop strong foundations in algorithmic thinking and problem-solving, preparing them for more advanced modules in software development.

Fundamentals of Networks and Security

This module covers the fundamental concepts of computer networking, including the OSI and TCP/IP models, IPv4 addressing, the TCP, UDP, HTTP and DHCP protocols, as well as routing, switching and Local Area Network (LAN) design. Students gain practical experience in configuring and analysing networks using tools such as Cisco Packet Tracer, while also being introduced to the principles of cybersecurity through network traffic analysis using Wireshark.

Computer Systems, data structures and data management

The module explores two related, although distinct, foundations of real life computer applications: human-computer interaction and data. Module content includes: product design, user-interface design and usability, data representations, data modelling and data storage. Data types and various techniques for modelling the storage and transfer of data, are implemented using Java / Python programming language.

Games Technologies

Introduction to graphics engines using Unity3d. The course introduces all the concepts of a game engine and its use in the design and implementation of a game. The course also includes scripting code where students learn the use of C# within the Unity3d environment.

English I

Students will develop their general English skills in reading, writing, listening and speaking, and be provided with an introduction to academic English. Students will develop their grammatical, phonological, general and subject- specific lexical awareness. By the end of the module students’ language for academic study should be at a mid B2 on the CEFR equivalent to IELTS 5.5.

Game Engine Systems

This module focuses on the architecture and core subsystems of modern game engines, including scene management, physics simulation, animation, artificial intelligence, audio systems and resource management. Through practical coursework, students gain experience in the design, implementation and optimisation of the key components that underpin contemporary digital games.

Legal, Ethical & Sustainability Issues

This module examines the legal, ethical and environmental aspects of the development and use of information systems. Students explore topics including data protection, cybersecurity, intellectual property, professional ethics, and the principles of sustainability and responsible digital technology use, in line with current international standards and relevant legal and regulatory frameworks.

Software Engineering

This module introduces concepts and their applications in software modelling and maintenance for building high quality scalable software. It provides students with theoretical and practical skills to apply software processes, tools and methodologies for design and development of large systems and applications. The theory and practices covered in the module form the basis for a practical project, which entails the analysis, design, implementation, and testing of a software system.

Graphics

This module introduces students to the fundamental principles of computer graphics, with a particular emphasis on the creation and real-time rendering of three-dimensional graphics. Through practical development using C++ and OpenGL, students build applications that employ modelling, geometric transformations, lighting, texturing and shader programming, acquiring the knowledge and skills required for the development of modern games and interactive applications.

Virtual Environment Development

This module introduces students to the design and development of interactive three-dimensional virtual environments using contemporary game engines such as Unity. Through practical coursework, students create 3D scenes, implement interaction and physics simulation mechanisms, and apply lighting, animation and optimisation techniques to develop games and immersive virtual experiences.

Team Project

This module provides students with the opportunity to work collaboratively in teams to design, develop and deliver a complete software project using contemporary software development and project management methodologies. Through collaborative practice, students develop both technical and professional skills, including teamwork, communication, requirements management, version control, technical documentation and effective project organisation. The module also enables students to apply core Software Engineering principles, including project management, code review and standardisation, design patterns, prototyping and the production of professional technical documentation.

English II

The module builds on English I and further develops students’ general and academic English skills in reading, writing, listening and speaking. Students will be exposed to more advanced forms of academic English. They will further develop their grammatical, phonological, general, and subject-specific lexical awareness. By the end of the module students’ language for academic study should be at a B2/B2+ on the CEFR equivalent to IELTS 6.0 or above.

Game development

In this course, students will be able to develop in groups a prototype computer game from the starting design phase up to the last stage of game release and publishing. Upon successful completion of the course, students will be able to develop a high-quality original game using a modern game engine and evaluate aspects of modern game designs such as game design, game environment and game mechanics.

Abstract interaction methodologies

This module looks at the evolving state of games technologies for both traditional games and other uses. Students develop mixed hardware/software solutions for platform and/or use-case specific scenarios to gain an understanding of the differences in platform capabilities. They will then make use of these platform capabilities to produce prototypes that demonstrate effective software for various scenarios considering: user interface design, user experience design, hardware limitations and benefits, and potential fallbacks/alternatives.

Frontiers in AI and Data Science

This module introduces students to contemporary developments in Artificial Intelligence (AI) and Data Science, covering the core principles of machine learning, data analytics and knowledge discovery. Through practical applications using Python and modern AI libraries, students gain experience in developing, evaluating and deploying AI models to solve real-world problems.

Individual project                                                               

This module enables students to demonstrate the ability to independently develop a substantial piece of work related to their specialism. It can be either a significant piece of research following a recognised research methodology, or it can be a significant “design and development” project to create, test and evaluate an innovative solution in computing. Students will be supported and mentored by a member of the academic staff, i.e. a supervisor, but the project will be defined and implemented by the student.