MEng Computer Science with Artificial Intelligence
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.
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 14 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 76%
- Learning opportunities: 77%
- Assessment and feedback: 67%
- Academic support: 83%
- Organisation and management: 78%
- Learning resources: 89%
- Student voice: 65%
Do students stay on the course?
Based on about 20 students who started (a small group: a rough guide only)
- Continued on course: 100%
What graduates do next
Based on about 8 graduates who answered (a small group: a rough guide only)
- Working: 90%
- Working and studying: 10%
Most common jobs
- Information Technology Professionals: 80%
- Elementary occupations: 10%
- Engineering professionals: 10%
- Find their work meaningful: 90%
- Feel on track for their future plans: 90%
- Use what they learnt on the course: 80%
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 25 students who started (a small group: a rough guide only)
- A levels: 80%
- Baccalaureate: 5%
- Foundation course: 10%
- Other HE qualification: 5%
Accreditation & quality ratings
- Accredited by the Institution of Engineering and Technology on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.
- Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.
- Accredited by BCS, the Chartered Institute for IT for the award of Euro-Inf Master Quality Label on behalf of EQANIE (European Quality Assurance Network for Informatics Education e.V.) as satisfying the outcomes of Second Cycle Programmes specified by the Euro-Inf Framework Standards and Accreditation Criteria for Informatics Degree Programmes.
- Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the further learning academic requirement for registration as a Chartered IT Professional.
- Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
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 Artificial Intelligence 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 Artificial Intelligence at University of Southampton do next?
100% 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 Artificial Intelligence at University of Southampton?
76% 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 Artificial Intelligence at University of Southampton?
The typical offer is A*AA at A level, or 38 points in the IB. The average entrant had 176 UCAS points.
Is MEng Computer Science with Artificial Intelligence at University of Southampton accredited?
Yes. Accredited by the Institution of Engineering and Technology on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer. Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer. Accredited by BCS, the Chartered Institute for IT for the award of Euro-Inf Master Quality Label on behalf of EQANIE (European Quality Assurance Network for Informatics Education e.V.) as satisfying the outcomes of Second Cycle Programmes specified by the Euro-Inf Framework Standards and Accreditation Criteria for Informatics Degree Programmes. Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the further learning academic requirement for registration as a Chartered IT Professional. Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
How many students continue on MEng Computer Science with Artificial Intelligence at University of Southampton?
100% of students continued into their second year, and 0% left higher education.