MSci Software Engineering (with Industrial Experience)
Entry requirements
A level: AAA. Though not an essential subject entry requirement, applicants with A level Computing, Computer Science or Mathematics will be considered for a lower offer. IB: 36 points overall with 16 points from the best 3 HL subjects. Though not an essential subject entry requirement, applicants with HL Mathematics or Computer Science will be considered for a lower offer.
About this course
MSci Hons in Software Engineering (with Industrial Experience), a software engineering degree centred on practical computing systems, design studio projects, and industry alignment. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Control Systems, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Project Management, Engineering Design, Ethics & Professional Practice, Entrepreneurship, Human Behaviour, Artificial Intelligence & Machine Learning, and Design & Creative Practice. Students undertake a substantial individual project in their final year and complete a 10-week industry placement. The first year establishes foundational computing concepts through compulsory modules such as Designing Software Systems, Digital Systems, Fundamentals of Computer Science, and Software Development, alongside optional choices like Matrices and Calculus and Probability and Statistics. Year 2 advances technical knowledge with core studies including HCI: Designing for People, Networks and Systems, Secure Data and Systems, and Software Engineering Studio I, complemented by optional topics such as Artificial Intelligence and Data Engineering. Year 3 centres on collaborative system building via Software Engineering Studio II and Software Engineering Studio III, with further options covering areas like Embedded Systems, Machine Learning, and Quantum Computing. The final year concludes with the Fourth Year Individual Project, Research Methods & Innovation, a 10-week placement, and optional modules including Engineering and Verifying Secure Distributed Systems.
Modules
- Designing Software Systems
- Digital Systems
- Fundamentals of Computer Science
- Software Development
- Contemporary Topics in Computing
- DevOps
- Matrices and Calculus
- Probability and Statistics
- HCI: Designing for People
- Networks and Systems
- Secure Data and Systems
- Software Engineering Studio I
- Artificial Intelligence
- Concurrent and Parallel Systems
- Extended Reality
- Internet Applications
- Algorithms
- Applied Security Methods
- Data Engineering
- Sustainable Computing
- Operating Systems
- Software Engineering Studio II
- Software Engineering Studio III
- Advanced Networking
- Advanced Programming
- Computer Science Education
- Computer Vision
- Digital Health
- Distributed Systems
- Embedded Systems
- Languages and Compilation
- Machine Learning
- Natural Language Processing
- Quantum Computing
- Secure Artificial Intelligence
- Secure Cyber Physical Systems
- Secure Distributed Systems
- Fourth Year Individual Project
- Placement
- Research Methods & Innovation
- Engineering and Verifying Secure Distributed Systems