BSc Computer Science

Placement Year

• Collaborated with a cross-functional team to design, implement, and test software solutions, gaining hands-on experience with industry-standard tools and methodologies.
• Adapted quickly to the company’s technology stack and coding standards, showcasing flexibility and a strong ability to learn on the job.
• Worked effectively within an agile development environment, participating in daily stand-ups, sprint planning, and retrospective meetings to ensure project milestones were met.

More details could be provided for the topic of the dissertation project and the practical skills gained.

Year 3

• Dissertation Project (One third of final year. Individual research project)
• Finance and Law for Engineers (introduce engineering students to key areas of financial and legal risk that engineers should be aware of in their working environment)

This list will change based on what was chosen in the final year of your degree programme. The ordering may also change to put what you consider the important or most relevant modules first.

Self-Elected Modules

• 3D Computer Graphics (techniques used in modern 3D computer graphics; Programming: Java, OpenGL, GLSL)
• Computer Vision (Programming work uses deep learning tools)
• Software Reengineering (how to reverse-engineer and appraise complex, unwieldy systems by implementing source code and execution analysis techniques; strategies that can be used to adapt and reengineer such systems to improve their quality and viability. Practical work using Git repositories)
• Software Testing and Analysis (problems and techniques of analysing and testing software systems)
• The Internet of Things (practical hands-on experience of common IoT devices; Practical work involves programming an IoT device and capturing and analysing data)
• Software Development for Mobile Devices (Uses MVC or MVVM when developing software for mobile devices; Practical work develops skills with the Android platform)
• Speech Processing (examines both the production and perception of speech, taking a multi-disciplinary approach)

A list of the modules taken in year 2 of the degree programme. The ordering and subsidiary text should be adapted to highlight relevant skills.

Year 2

• Data Driven Computing (introduction to machine learning and pattern processing, but with a clear emphasis on applications; Programming: Python)
• Systems Design and Security (Focus is software systems design; Includes: UML, SQL and agile methods. Programing: Java)
• Robotics (design and implementation of the technology underpinning contemporary robotics; multidisciplinary content spanning psychology, human factors, computer science and robotics; Programming: Robot Operating System)
• Logic in Computer Science (foundations of logic in computer science)
• Functional Programming (Programming: Haskell)
• Automata, Computation and Complexity (logical foundations and tools for modelling and analysing computing systems)
• Software Hut (group work; covers the processes of engineering a real software system for a client in a competitive environment; Programming: depends on client needs, e.g; Ruby on Rails; Includes extensive use of version control)
• Engineering - You’re Hired (One week group project done in multi-disciplinary groups in the Faculty of Engineering; develops students’ academic, transferable and employability skills; problems provided by industrial partners.)

A list of the modules taken in year 1 of the degree programme. The ordering and subsidiary text should be adapted to highlight relevant skills.

Year 1

• Introduction to Software Engineering (Includes: practical experience in teamwork and managing software projects; Version control; Programming: Ruby;)
• Foundations of Computer Science (Includes: Mathematical techniques that are the foundation for other computer science topics)
• Java Programming (Includes: writing and testing well-structured and readable programs to solve problems; Programming: Java)
• Machines and Intelligence (Includes: Intro to key concepts and problems in the field of AI; Lab classes include a range of things such as robotics and use of generative AI tools)
• Devices and Networks (Includes: computer architecture and aspects of networks)
• Web and Internet Technology (Focus is on front-end development and includes practical work using HTML, CSS and JavaScript to develop websites; Includes: accessibility and legal issues)
• Introduction to Algorithms and Data Structures (Includes: design and analysis of efficient algorithms and data structures)
• Global Engineering Challenge Week (One week group project done in multi-disciplinary groups in the Faculty of Engineering; develops students’ academic, transferable and employability skills as well as widening horizons as global citizens)