MEng Computer Science with Artificial Intelligence
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 with Artificial Intelligence, a computer science degree centred on artificial intelligence and software engineering methodologies. Core topics include Programming, Computer Architecture, Embedded Systems, Signal Processing, Statistics, Research Methods, Project Management, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. This master's programme is professionally accredited by the Institution of Engineering and Technology and the British Computer Society. The first year covers core fundamentals through Algorithmics, COMP Part I Laboratory Programme, Computer Systems I, Data Management, Mathematics I, Mathematics II, Networks and Security, Programming I, and Programming II. The second year progresses with Artificial Intelligence, Computer Systems II, Formal Specification and Verification, Programming III, Programming Language Concepts, Software Design and Development Project, and Theory of Computing. Year three introduces 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 modules covering areas such as computer architecture, machine learning, and computer vision. The final year includes compulsory study in Group Design Project, Industrial Studies, and Software Security, while optional modules allow specialisation in topics including deep learning, robotics, quantum computing, and biometrics.
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