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BSc Computer Science

Royal Holloway, University of London

Institution
Royal Holloway, University of London
Level
undergraduate
Subject
Computer Science
Duration
3 years
UCAS code
G400
Typical offer
A-level AAB, IB 34

Entry requirements

A level: AAB-ABB (Required subjects: Computer Science or Mathematics or Physics. GCSE Mathematics at grade 6 (B) GCSE English Language at grade 4 (C) For students taking the BTEC Extended Diploma please click here to see the specific modules you must take in order to meet the entry requirements for this course.) IB: 6,6,5 at Higher level or 34 points overall. Including either Physics, Computer Science or 5 HL Maths: Analysis & Approaches/6 HL Maths: Applications & Interpretation/6 SL Maths: Analysis and Approaches

About this course

BSc in Computer Science, combining theoretical foundations with practical software development. Core topics include Programming, Computer Architecture, Embedded Systems, Control Systems, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The course includes a team-based software project using Agile methods and an individual final-year project. Optional modules in the final year allow specialisation in areas such as information security or machine learning.

Modules

  • Object Oriented Programming I
  • Object Oriented Programming II
  • Programming laboratory
  • Internet Services
  • Mathematical Structures
  • Machine Fundamentals
  • Mathematical Methods for Computer Science
  • Software Design
  • Academic Integrity
  • Software Engineering
  • Team Project
  • Operating Systems
  • Databases
  • Algorithms and Complexity
  • Introduction to Information Security
  • Symbolic Artificial Intelligence
  • Multi-dimensional Data Processing
  • Computer and Network Security
  • Individual Project
  • Computational Finance
  • Intelligent Agents and Multi-agent Systems
  • Machine Learning
  • Applications of Cryptography
  • Critical Infrastructure Security
  • Digital Forensics
  • Malicious Software
  • Smart Cards, RFIDs and Embedded Systems Security
  • IT Project Management
  • Software Language Engineering
  • Compilers and Code Generation
  • Computational Optimisation
  • Functional Programming and Applications
  • Deep Learning
  • Software Verification
  • Security Management
  • Advanced Algorithms & Complexity