MEng Computer Science
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)
About this course
Master of Engineering in Computer Science, a computer science degree covering software design, systems architecture and computational theory. Core topics include Programming, Computer Architecture, Embedded Systems, Signal Processing, Statistics, Research Methods, Project Management, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. This four-year degree holds accreditation from the British Computer Society and the Institution of Engineering and Technology. The first year establishes fundamental theory and practical capabilities through modules such as Algorithmics, Computer Systems I, Mathematics I, and Programming I, introducing essential data structures and programming languages. The second year progresses to operating systems and program correctness via Artificial Intelligence, Computer Systems II, Formal Specification and Verification, and Software Design and Development Project, where learners collaborate on interactive software systems. The third year involves individual project phases alongside advanced study, featuring compulsory modules like 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 choices spanning advanced computer architecture, machine learning, and robotics. The final year consolidates professional and technical readiness through Group Design Project, Industrial Studies, and Software Security, complemented by specialised master's-level options.
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