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MEng Electronic Engineering with Nanotechnology

University of Southampton

Institution
University of Southampton
Level
undergraduate
Subject
Electronic Engineering with Nanotechnology
Duration
4 years
UCAS code
H611
Typical offer
A-level A*AA, IB 38

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

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.

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