MEng Electronic Engineering with Nanotechnology
About this course
Master of Engineering in Electronic Engineering with Nanotechnology, an electrical and electronic engineering degree focused on engineering at the nanoscale and testing microscopic electronic devices. Core topics include Programming, Systems Design, Circuit Design, Computer Architecture, Embedded Systems, Signal Processing, Microelectronics, Control Systems, Statistics, Mathematical Modelling, Research Methods, Project Management, Engineering Design, Critical & Analytical Thinking, and Artificial Intelligence & Machine Learning. Students complete an individual project in a chosen area of nanotechnology, followed by a collaborative group design project set by an external industrial or academic customer in the final year. The first year establishes fundamental technical foundations through compulsory modules such as Circuits, Digital Systems, Electronic Systems and Devices, and Engineering Mathematics. The second year advances core knowledge via studies in Applied Electromagnetism, Communications, Control and Systems Engineering, and Signal Processing. In the third year, students tackle Nanoelectronic Devices and undertake the first two phases of their individual project, alongside optional modules covering topics such as Advanced Computer Architecture, Biosensors and Diagnostics, and Foundations of Machine Learning. The final fourth year features compulsory group design work alongside an extensive selection of advanced options spanning Nanoelectronic Devices, Microfabrication, Quantum Devices and Technology, and Silicon Photonics.
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) and either physics, further mathematics, electronics or computer science (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), and 6 at Higher Level in Physics or Computer Science
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%
- Elementary occupations: 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
- 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.
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Circuits
- Digital Systems
- ELEC Part One Laboratory Programme
- Electronic Systems and Devices
- Engineering Mathematics
- Fields, Forces and Materials
- Introduction to Signals, Control and Communications
- Mathematics
- Programming
- Applied Electromagnetism
- Communications
- Control and Systems Engineering
- Design
- Electronic and Computer Systems
- Electronic and Photonic Devices
- Programming and Simulation of Electronic Systems
- Signal Processing
- Nanoelectronic Devices
- Part III Individual Project Phase 1
- Part III Individual Project Phase 2
- Advanced Computer Architecture
- Advanced Partial Differential Equations
- Analogue and Mixed Signal Electronics
- Biosensors and Diagnostics
- Computational Biology
- Control System Design
- Digital Coding and Transmission
- Digital Control System Design
- Digital IC and Systems Design
- Embedded Networked Systems
- Foundations of Machine Learning
- From Data to Dynamical Model: System Identification
- Green Electronics
- Guidance, Navigation and Control
- Imaging for Digital Health and Bioscience
- Integral Transform Methods
- Introduction to Bionanotechnology and Computational Biology
- Introduction to Quantum Technologies
- Operational Research
- Photonics I
- Photonics II
- Precision Health: Machine Learning Under Uncertainty
- Real-Time Computing and Embedded Systems
- Robot Kinematics and Dynamics
- Signal and Image Processing
- Wireless and Optical Communications
- Group Design Project
- Industrial Studies
- Advanced Micro and Nanosystems
- Applied Control Systems
- Computer Vision (MSc)
- Cryptography
- Digital Systems Synthesis
- Embedded Processors
- Evolution of Complexity
- From Data to Dynamical Model: System Identification
- Image Processing
- Individual Research Project
- Intelligent Mobile Robotics
- Introduction to Quantum Computing
- Machine Learning for Wireless Communications
- Medical Electrical and Electronic Technologies
- Microfabrication
- Microfluidics and Lab-on-a-Chip
- Microsensor Technologies
- Modelling with Differential Equations
- Nanofabrication and Microscopy
- Nonlinear Control of Aerospace Systems
- Numerical Methods
- Optical Fibres and Waveguides
- Quantum Devices and Technology
- Secure Hardware and Embedded Devices
- Silicon Photonics
- Software Project Management and Secure Development
- VLSI Design Project
- VLSI Systems Design
- Wireless Transceiver Design and Implementation
Questions about this course
How much do graduates of MEng Electronic Engineering with Nanotechnology 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 Electronic Engineering with Nanotechnology 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 Electronic Engineering with Nanotechnology 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 Electronic Engineering with Nanotechnology 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.
Is MEng Electronic Engineering with Nanotechnology 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.
How many students continue on MEng Electronic Engineering with Nanotechnology at University of Southampton?
92% of students continued into their second year, and 8% left higher education.