MEng Artificial Intelligence
About this course
Master of Engineering in Artificial Intelligence, a computer science (artificial intelligence) degree centred on modern approaches to artificial intelligence and machine learning. Core topics include Programming, Computer Architecture, Embedded Systems, Signal Processing, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Project Management, Critical & Analytical Thinking, Artificial Intelligence & Machine Learning. The curriculum incorporates a group design project in the final year. The first year establishes fundamental technical foundations through modules such as High-Level Programming, Low-Level Programming, Digital Computer Systems, and Data Analytics. The second year progresses to advanced computing and analytical concepts with Artificial Intelligence and Learning Machines, Machine Learning (I), Digital Signal Processing, and Parallel and Distributed Computing. In the third year, students undertake an individual project alongside advanced optional choices such as Advanced Computer Architecture, Computer Vision, Deep Reinforcement Learning for Robotics, and Natural Language Processing. The final year involves collaborative intensive project work through the Group Design Project, complemented by specialised optional modules including Deep Learning Research, Intelligent Mobile Robotics, Multimodal Artificial Intelligence, and Human Robot Interaction.
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 11 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 88%
- Learning opportunities: 77%
- Assessment and feedback: 80%
- Academic support: 100%
- Organisation and management: 77%
- Learning resources: 98%
- Student voice: 80%
Do students stay on the course?
Based on about 15 students who started, across similar courses at this university (a small group: a rough guide only)
- Continued on course: 100%
What graduates do next
Based on about 79 graduates who answered, across similar courses at this university
- Working: 83%
- Working and studying: 5%
- Further study: 3%
- Unemployed: 7%
Most common jobs
- Information Technology Professionals: 65%
- Elementary occupations: 4%
- Science, engineering and technology associate professionals: 4%
- Engineering professionals: 4%
- Sales occupations: 3%
- Find their work meaningful: 87%
- Feel on track for their future plans: 86%
- Use what they learnt on the course: 72%
Where graduates work (5 years on)
Based on about 120 graduates, across similar courses at this university
- North West: 2%
- East Midlands: 1%
- East of England: 8%
- London: 33%
- South East: 41%
- South West: 12%
- Wales: 2%
- Scotland: 2%
Who gets in
Based on about 40 students who started, across similar courses at this university
- A levels: 75%
- Baccalaureate: 5%
- Foundation course: 15%
- A degree: 5%
- Other HE qualification: 5%
- No formal qualifications: 5%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- AICE Lab Programme Year 1
- Algorithms and Analysis
- Data Analytics
- Digital Computer Systems
- Ethics and Security of Computing
- High-Level Programming
- Low-Level Programming
- Mathematics for Artificial Intelligence and Computer Engineering (I)
- Mathematics for Artificial Intelligence and Computer Engineering (II)
- AI and CE Interdisciplinary Group Project
- Artificial Intelligence and Learning Machines
- Code Transformation
- Digital Signal Processing
- Machine Learning (I)
- Parallel and Distributed Computing
- Scientific Computing
- Systematic Design
- Mathematics of Machine Learning
- Part III Individual Project Phase 1
- Part III Individual Project Phase 2
- Advanced Computer Architecture
- Advanced Computer Networks
- Advanced Databases
- Biosensors and Diagnostics
- Causal Reasoning and Machine Learning
- Cloud Application Development
- Computational Biology
- Computer Vision
- Deep Reinforcement Learning for Robotics
- High Performance Computing
- History of Computing
- Imaging for Digital Health and Bioscience
- Interaction Science
- Introduction to Bionanotechnology and Computational Biology
- Natural Language Processing
- Precision Health: Machine Learning Under Uncertainty
- Real-Time Computing and Embedded Systems
- Robot Kinematics and Dynamics
- Security of Cyber Physical Systems
- Social Computing Techniques
- Web and Cloud Based Security
- Group Design Project
- Industrial Studies
- Algorithmic Game Theory
- Automated Software Verification
- Bayesian, Active & Reinforcement Learning
- Biometrics
- Cryptography
- Data Economy
- Data Mining
- Data Visualisation
- Deep Learning Research
- Digital Forensics
- Evolution of Complexity
- Hardware Accelerators
- Human Robot Interaction
- Image Processing
- Individual Research Project
- Intelligent Agents
- Intelligent Mobile Robotics
- Introduction to Deep Learning (MSc)
- Introduction to Quantum Computing
- Knowledge Graphs for AI Systems
- Multimodal Artificial Intelligence
- Optimisation for Machine Learning
- Probability in Computing
- Research Topics on Interaction Science
- Simulation Modelling for Computer Science
- Social Media and Network Science
- Software Modelling Tools and Techniques for Critical Systems
- Software Project Management and Secure Development
- Software Security
Questions about this course
How much do graduates of MEng Artificial Intelligence at University of Southampton earn?
The median salary is £37,000 after 15 months, £47,000 after 3 years, £62,000 after 5 years. After five years the middle half of graduates earn between £45,000 and £82,000. The £62,000 median after five years is £13,500 more than the UK median for Artificial intelligence.
What do graduates of MEng Artificial Intelligence 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 Artificial Intelligence at University of Southampton?
88% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MEng 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 175 UCAS points.
How many students continue on MEng Artificial Intelligence at University of Southampton?
100% of students continued into their second year, and 0% left higher education.