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Computer Systems Engineering with Integrated Foundation Year

Royal Holloway, University of London

Institution
Royal Holloway, University of London
Level
undergraduate
Subject
Computer Systems Engineering with Integrated Foundation Year
Duration
4 years
UCAS code
HG0F
Typical offer
A-level CCC, IB 24

Entry requirements

A level: CCC-CCD (Required subjects: We require English Language and Mathematics GCSE at grade 4(C) T-levels We accept T-levels for admission to our undergraduate courses, with the following grades regarded as equivalent to our standard A-level requirements: AAA* – Distinction (A* on the core and distinction in the occupational specialism) AAA – Distinction BBB – Merit CCC – Pass (C or above on the core) DDD – Pass (D or E on the core) Where a course specifies subject-specific requirements at A-level, T-level applicants are likely to be asked to offer this A-level alongside their T-level studies.) IB: 24 points overall

About this course

BEng Computer Systems Engineering with Integrated Foundation Year, spanning Electrical and Electronic Engineering and Computer Science. Core topics include Programming, Circuit Design, Computer Architecture, Embedded Systems, Signal Processing, Control Systems, and Artificial Intelligence & Machine Learning. An integrated foundation year covers mathematics, programming, and physical sciences before the main BEng degree. The final-year individual project involves theoretical and practical work in a chosen area of electronic engineering.

Modules

  • Foundation Programming
  • Foundation Physical Sciences I
  • Foundation Mathematics I
  • Foundation Programming Group Project
  • Engineering Society
  • Foundation Mathematics II
  • Embedded Systems Creative Team Project 1
  • Programming in C++
  • Electronic Circuits and Components
  • Communications Engineering 1
  • Mathematics for Engineers 1
  • Mathematics for Engineers 2
  • Internet Services
  • Academic Integrity
  • Embedded Systems Creative Team Project 2
  • Computer and Network Security
  • Software Engineering for Electronics
  • Signals, Systems and Communications
  • Professional and Sustainable Engineering
  • Algorithms and Complexity
  • Operating Systems
  • Individual Project
  • Digital Signal Processing Design
  • Principles of Engineering Management
  • Digital Systems Design
  • Advanced Communications Systems
  • Fundamentals of Biomedical Engineering
  • Power Systems
  • AI on Chip
  • Machine Learning
  • Quantum Computing
  • Critical Infrastructure Security
  • Digital Forensics