MEng Computer Science with Cyber Security (with a year in industry)
Entry requirements
A level: A*AA including Mathematics. If you are studying towards a fourth A level, we will make an alternative offer of AAAA including Mathematics. IB: 37 points overall, including 5 in Higher Level Mathematics (either Analysis and Approaches or Applications and Interpretations), or 6 in Standard Level Mathematics (Analysis and Approaches). BTEC: DDD plus grade B in A level Mathematics (or equivalent qualification) We consider a range of BTEC qualifications equivalent to 3 A Levels, or in combination with A Levels or other qualifications. For example: Distinction, Distinction in BTEC Level 3 National Diploma plus A in A Level Mathematics Distinction in BTEC Level 3 National Extended Certificate plus AA at A level including Mathematics Distinction, Distinction in 2 BTEC Level 3 National Extended Certificates plus A in A Level Mathematics
About this course
MEng (Hons) in MEng (Hons) Computer Science with Cyber Security (with a year in industry), a computer science and software engineering degree centred on building expertise in secure systems and threat mitigation. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Data Analysis, Research Methods, and Artificial Intelligence & Machine Learning. The programme includes a compulsory industry placement year providing paid professional experience. The first year covers the foundations through Software 1: Foundations of Programming for Computer Science, Theory 1: Mathematical Foundations of Computer Science, Human-Computer Interaction, and Software 2: Object-Oriented Data Structures and Algorithms. The second year progresses with Engineering 1: Software and Systems Engineering, Systems and Devices 2: Operating Systems, Security and Networking, Theory 3: Computability, Complexity and Logic, and Intelligent Systems: Machine Learning and Optimisation. Year four introduces mandatory advanced topics such as Computer Science Project (Cyber Security topic), Cryptography Theory and Practice, Ethical Hacking, Analysis and Investigation, Network Security, and Quantum Computation. The final year incorporates a Group Project (Integrated Masters) alongside advanced compulsory subjects like Cryptography Theory and Practice, Ethical Hacking, Analysis and Investigation, Network Security, and Quantum Computation. Students can further tailor their studies through optional modules spanning AI Search and Logic, Autonomous Robots, Embedded Systems Design and Implementation, and Deep Learning.
Modules
- Software 1: Foundations of Programming for Computer Science
- Theory 1: Mathematical Foundations of Computer Science
- Human-Computer Interaction
- Software 2: Object-Oriented Data Structures and Algorithms
- Systems and Devices 1: Introduction to Computer Architectures
- Theory 2: Formal Languages and Automata
- Engineering 1: Software and Systems Engineering
- Systems and Devices 2: Operating Systems, Security and Networking
- Theory 3: Computability, Complexity and Logic
- Intelligent Systems: Machine Learning and Optimisation
- Data: Introduction to Data Science
- Systems and Devices 3: Advanced Computer Systems
- Computer Science Project (Cyber Security topic)
- Cryptography Theory and Practice
- Ethical Hacking, Analysis and Investigation
- Network Security
- Quantum Computation
- Human Factors: Technology in Context
- AI Search and Logic
- Autonomous Robots
- Embedded Systems Design and Implementation
- Engineering 2: Automated Software Engineering
- High-Integrity Systems Engineering
- High-Performance Parallel and Distributed Systems
- Deep Learning
- Legal Practice, Technology and Computer Science
- Player Experiences in Digital Games
- Qualitative Approaches to Investigating UX
- Research Methods in Computer Science
- Cloud based Data Analysis
- Game Design & Development in Real-Time Engines
- Governance of Data Science
- Engineering LLM-Based Agents and Applications
- Large Language Models
- Natural Language Processing
- Group Project (Integrated Masters)
- Cryptography Theory and Practice
- Ethical Hacking, Analysis and Investigation
- Network Security
- Human Factors: Technology in Context
- Quantum Computation
- AI Search and Logic
- Autonomous Robots
- Embedded Systems Design and Implementation
- Engineering 2: Automated Software Engineering
- High-Integrity Systems Engineering
- High-Performance Parallel and Distributed Systems
- Deep Learning
- Player Experiences in Digital Games
- Qualitative Approaches to Investigating UX
- Research Methods in Computer Science