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MEng Computer Engineering

University of Southampton

Institution
University of Southampton
Level
undergraduate
Subject
Computer Engineering
Duration
4 years
UCAS code
I801
Typical offer
A-level A*AA, IB 38

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)

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.

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