MEng Computer Engineering
About this course
Master of Engineering in Computer Engineering is an undergraduate degree within Electrical and Electronic Engineering, focusing on the design and implementation of modern computer hardware and software systems. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Signal Processing, Microelectronics, Control Systems, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Project Management, Engineering Design, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. Students complete substantial project work and have the option to undertake a one-year industrial placement as part of their studies. The first year establishes fundamental knowledge through modules such as High-Level Programming, Low-Level Programming, Digital Computer Systems, and Algorithms and Analysis, supported by dedicated laboratory and mathematics courses. The second year progresses to subjects including Computer Architecture, Electronics, Signals and Control, and Systematic Design, alongside an interdisciplinary group project. In the third year, students undertake an individual project spanning two phases, while selecting from optional modules such as Advanced Computer Networks, Advanced Databases, Computer Vision, and Foundations of Machine Learning. The final year features a collaborative Group Design Project and a wide selection of advanced options covering topics such as Deep Learning Research, Digital Forensics, Hardware Accelerators, and Intelligent Mobile Robotics.
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)
Real offers for this course
Applicants have posted 2 UCAS decisions for MEng Computer Engineering (I801) at the University of Southampton for 2027 entry so far. The published offer is A*AA at A level.
What students say
Based on about 86 final-year students who answered, across similar courses at this university
- Teaching on my course: 91%
- Learning opportunities: 91%
- Assessment and feedback: 80%
- Academic support: 92%
- Organisation and management: 75%
- Learning resources: 92%
- Student voice: 78%
Do students stay on the course?
Based on about 160 students who started, across similar courses at this university
- Continued on course: 92%
- Left higher education: 8%
- Moved to a lower qualification: 1%
What graduates do next
Based on about 33 graduates who answered, across similar courses at this university
- Working: 65%
- Working and studying: 15%
- Further study: 5%
- Unemployed: 10%
Most common jobs
- Engineering professionals: 55%
- Information Technology Professionals: 10%
- Sales occupations: 5%
- Skilled trades occupations: 5%
- Managers, directors and senior officials: 5%
- Find their work meaningful: 90%
- Feel on track for their future plans: 90%
- Use what they learnt on the course: 90%
Where graduates work (5 years on)
Based on about 70 graduates, across similar courses at this university
- North West: 6%
- East Midlands: 4%
- West Midlands: 6%
- East of England: 17%
- London: 14%
- South East: 30%
- South West: 23%
Who gets in
Based on about 210 students who started, across similar courses at this university
- A levels: 75%
- Baccalaureate: 3%
- Foundation course: 17%
- Other HE qualification: 3%
- No formal qualifications: 3%
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
- Code Transformation
- Computer Architecture
- Electronics
- Parallel and Distributed Computing
- Scientific Computing
- Signals and Control
- Systematic Design
- Advanced Computer Architecture
- Part III Individual Project Phase 1
- Part III Individual Project Phase 2
- Advanced Computer Networks
- Advanced Databases
- Analogue and Mixed Signal Electronics
- Causal Reasoning and Machine Learning
- Cloud Application Development
- Computational Biology
- Computer Vision
- Control System Design
- Digital Control System Design
- Digital IC and Systems Design
- Embedded Networked Systems
- Foundations of Machine Learning
- Green Electronics
- Guidance, Navigation and Control
- High Performance Computing
- History of Computing
- Machine Learning Technologies
- Natural Language Processing
- Real-Time Computing and Embedded Systems
- Robot Kinematics and Dynamics
- Security of Cyber Physical Systems
- Signal and Image Processing
- Web and Cloud Based Security
- Group Design Project
- Industrial Studies
- Advanced Games Design and Development
- Algorithmic Game Theory
- Applied Control Systems
- Automated Software Verification
- Bayesian, Active & Reinforcement Learning
- Cryptography
- Data Mining
- Data Visualisation
- Deep Learning Research
- Digital Forensics
- Digital Systems Synthesis
- Evolution of Complexity
- Hardware Accelerators
- Human Robot Interaction
- Image Processing
- Individual Research Project
- Intelligent Mobile Robotics
- Introduction to Deep Learning (MSc)
- Introduction to Quantum Computing
- IoT Networks
- Knowledge Graphs for AI Systems
- Secure Hardware and Embedded Devices
- Simulation Modelling for Computer Science
- Software Modelling Tools and Techniques for Critical Systems
- Software Project Management and Secure Development
- Software Security
- VLSI Design Project
- VLSI Systems Design
Questions about this course
How much do graduates of MEng Computer Engineering at University of Southampton earn?
The median salary is £36,500 after 15 months, £40,500 after 3 years, £50,000 after 5 years. After five years the middle half of graduates earn between £40,500 and £61,500. The £50,000 median after five years is £12,500 more than the UK median for Electrical and electronic engineering.
What do graduates of MEng Computer Engineering at University of Southampton do next?
85% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MEng Computer Engineering at University of Southampton?
91% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MEng Computer Engineering at University of Southampton?
The typical offer is A*AA at A level, or 38 points in the IB. The average entrant had 167 UCAS points.
How many students continue on MEng Computer Engineering at University of Southampton?
92% of students continued into their second year, and 8% left higher education.