MEng Computer Science with Cyber Security
About this course
Master of Engineering in Computer Science with Cyber Security, a computer science degree focusing on secure systems development, network protection, and software analysis. Core topics include Programming, Computer Architecture, Embedded Systems, Signal Processing, Statistics, Research Methods, Project Management, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. Students complete an individual project in the third year and a collaborative group design project in the fourth year. The programme holds professional accreditation from the British Computer Society and the Institution of Engineering and Technology, alongside provisional certification from the National Cyber Security Centre. The first year covers foundational principles through Algorithmics, Computer Systems I, Networks and Security, and Programming I, introducing essential hardware concepts, communication protocols, and introductory programming languages. The second year advances technical knowledge with Artificial Intelligence, Computer Systems II, Formal Specification and Verification, and Software Design and Development Project, focusing on operating systems and collaborative software construction. Third-year studies explore specialised areas through compulsory modules such as Part III Individual Project Phase 1, Part III Individual Project Phase 2, Security of Cyber Physical Systems, and Web and Cloud Based Security, alongside optional topics like Advanced Computer Architecture, Advanced Computer Networks, Advanced Databases, and Biosensors and Diagnostics. The final fourth year integrates advanced theory and practice through compulsory modules including Group Design Project, Industrial Studies, and Software Security, while allowing further specialisation via optional modules such as Advanced Games Design and Development, Advanced Programming Language Concepts, Algorithmic Game Theory, and Automated Software Verification.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A level: A*AA including mathematics (minimum grade A). IB: Pass, with 38 points overall, with 19 points required at Higher Level including 6 at Higher Level in Mathematics (Analysis and Approaches) or 7 at Higher Level in Mathematics (Applications and Interpretation)
What students say
Based on about 19 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 79%
- Learning opportunities: 81%
- Assessment and feedback: 61%
- Academic support: 91%
- Organisation and management: 83%
- Learning resources: 94%
- Student voice: 73%
Do students stay on the course?
Based on about 15 students who started (a small group: a rough guide only)
- Continued on course: 100%
What graduates do next
Based on about 70 graduates who answered, across similar courses at this university
- Working: 82%
- Working and studying: 5%
- Further study: 4%
- Unemployed: 7%
Most common jobs
- Information Technology Professionals: 68%
- Science, engineering and technology associate professionals: 5%
- Engineering professionals: 4%
- Sales occupations: 3%
- Elementary occupations: 2%
- Find their work meaningful: 87%
- Feel on track for their future plans: 88%
- Use what they learnt on the course: 73%
Where graduates work (5 years on)
Based on about 80 graduates, across similar courses at this university
- North West: 1%
- East Midlands: 1%
- East of England: 8%
- London: 32%
- South East: 43%
- South West: 10%
- Wales: 1%
- Scotland: 2%
Who gets in
Based on about 15 students who started (a small group: a rough guide only)
- A levels: 95%
- Foundation course: 5%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Algorithmics
- COMP Part I Laboratory Programme
- Computer Systems I
- Data Management
- Mathematics I
- Mathematics II
- Networks and Security
- Programming I
- Programming II
- Artificial Intelligence
- Computer Systems II
- Formal Specification and Verification
- Programming III
- Programming Language Concepts
- Software Design and Development Project
- Theory of Computing
- Part III Individual Project Phase 1
- Part III Individual Project Phase 2
- Security of Cyber Physical Systems
- Web and Cloud Based Security
- Advanced Computer Architecture
- Advanced Computer Networks
- Advanced Databases
- Biosensors and Diagnostics
- Causal Reasoning and Machine Learning
- Cloud Application Development
- Computational Biology
- Computer Vision
- Foundations of Machine Learning
- Game Design and Development
- History of Computing
- Imaging for Digital Health and Bioscience
- Interaction Science
- Introduction to Bionanotechnology and Computational Biology
- Machine Learning Technologies
- Natural Language Processing
- Operational Research
- Precision Health: Machine Learning Under Uncertainty
- Real-Time Computing and Embedded Systems
- Robot Kinematics and Dynamics
- Social Computing Techniques
- Web Architecture and Hypertext Technologies
- Group Design Project
- Industrial Studies
- Software Security
- Advanced Games Design and Development
- Advanced Programming Language Concepts
- Algorithmic Game Theory
- Automated Software Verification
- Bayesian, Active & Reinforcement Learning
- Biometrics
- Cryptography
- Cyber Crime, Insecurity and the Dark Web (Cyber Security)
- Cyber Security and Machine Learning
- Data Economy
- Data Mining
- Data Visualisation
- Database Theory
- Deep Learning Technologies
- Digital Forensics
- Evolution of Complexity
- Hardware Accelerators
- Image Processing
- Individual Research Project
- Intelligent Agents
- Intelligent Mobile Robotics
- Introduction to Quantum Computing
- Knowledge Graphs for AI Systems
- Optimisation for Machine Learning
- Probability in Computing
- Research Topics on Interaction Science
- Simulation Modelling for Computer Science
- Social Media and Network Science
- Software Project Management and Secure Development
Questions about this course
How much do graduates of MEng Computer Science with Cyber Security at University of Southampton earn?
The median salary is £37,000 after 15 months, £47,000 after 3 years, £63,500 after 5 years. After five years the middle half of graduates earn between £45,500 and £82,000. The £63,500 median after five years is £27,500 more than the UK median for Computer science.
What do graduates of MEng Computer Science with Cyber Security at University of Southampton do next?
91% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MEng Computer Science with Cyber Security at University of Southampton?
79% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MEng Computer Science with Cyber Security at University of Southampton?
The typical offer is A*AA at A level, or 38 points in the IB. The average entrant had 172 UCAS points.
How many students continue on MEng Computer Science with Cyber Security at University of Southampton?
100% of students continued into their second year, and 0% left higher education.