This module aims to familiarise students with object-oriented design and programming, along with industry-standard methods and techniques for development. It builds upon students' prior knowledge of fundamental programming techniques. Students will delve into essential object-oriented concepts like class design, encapsulation, inheritance, composition, abstract classes, and interfaces, using Java programming language. Additionally, they'll learn about industry-standard approaches to development including version control, testing, test-driven development, and the creation of professional-grade software documentation like APIs. Security concerns in software design will also be introduced.

This module familiarises you with various tools and methodologies for full-stack web development, encompassing both front-end and back-end software. Lecture content delves into technologies required to create and maintain secure, dynamic websites, incorporating server-side scripting languages and databases. Additionally, students will code the design and implementation of front-end interfaces. Workshop sessions provide hands-on practice, allowing students to apply lecture concepts by developing their websites.

This module offers an introduction to different tools, techniques, and applications of artificial intelligence (AI). Through lectures and workshops, students will explore various AI technologies and have hands-on experience implementing practical AI solutions in software. Additionally, students will have the opportunity to research current innovations in AI and understand its status as a disruptive technology, contributing to their portfolio.

This module explores various cloud technologies and culminates in the development and deployment of a system on cloud infrastructure.

This module seeks to amalgamate concepts covered in previous level 4 and 5 modules while providing students with practical experience in developing a software or hardware project within a team setting. It focuses on cultivating teamwork skills and project coordination and management abilities.

This module advances your understanding of algorithm structure, programming techniques, and data structures, building upon your previous programming experience from the first year. It covers algorithm design, the utilisation of data structures within algorithms, and the examination of various algorithm types using mathematical notation. Additionally, the module initiates your exploration into concurrency, transitioning from serial programs with single threads of execution to parallel computing. Topics include multithreading algorithms, potential issues like deadlocks and race conditions, and strategies for modifying algorithms to mitigate these problems. Simple methods for measuring performance may also be explored.

This module expands on your progress in full-stack development from the second year, offering a comprehensive exploration of full-stack web application development. It underscores the significance of architectural patterns and Service-Oriented Architectures in this field, while also examining current and emerging technologies in full-stack web development.

Intelligent systems refer to advanced computer systems utilising artificial intelligence (AI) to perceive and react to their surroundings. Their primary objective is to automate behaviours traditionally exclusive to humans. These systems manifest in various forms, from autonomous vacuum cleaners to robot delivery drones and personalised website suggestions. They serve diverse societal functions like factory automation, medical care, education, recognition, and transportation. This module offers an understanding of intelligent system theory and concepts, along with an awareness of the challenges associated with their development. Additionally, students will have the chance to develop intelligent systems themselves.

This module extends the knowledge gained from High-Performance Computing and Database modules to delve into the fundamental concepts, theories, and practices of Big Data. It covers Distributed Systems as well as the latest advancements and techniques in processing and managing large datasets.

This module directs students' attention to the contemporary and evolving field of artificial intelligence (AI) and machine learning, exploring their applications in both domestic and commercial life. Covered topics may vary based on research interests, encompassing areas such as Robotics, Digital Entertainment, Automotive, and Supply chain industries. Students will have the opportunity to concentrate on a portfolio of work within their chosen course area, aided by lectures and supplementary tutorials.

This module initially addresses the professional aspects pertinent to the Computing and IT industry, covering topics like professional conduct and the social, legal, and ethical considerations aligned with BCS guidelines. Additionally, in the first semester, students will commence discussions on their final-year project. They will develop a project proposal document and begin a literature review on their chosen topic following consultations with staff members. Each student will be assigned a project supervisor, who will provide feedback on their progress through regular meetings. In the second semester, students will continue to work independently on the main part of their final year project, with ongoing meetings with their supervisor. Assessment of the project will be conducted by both the supervisor and another member of staff.