BSc Computer Science with a Year in Industry
Royal Holloway, University of London
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 & Approaches
About this course
BSc in Computer Science. Core topics include Programming, Computer Architecture, Embedded Systems, Control Systems, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The course includes a year-long industry placement with assessed work contributing to the final degree classification. After year one, students may transfer onto specialist pathways in Artificial Intelligence, Cyber Security, or Software Engineering, or onto an integrated masters course.
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
- Computer and Network Security
- Multi-dimensional Data Processing
- Year in Industry
- 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
- Security Management
- Software Verification
- Advanced Algorithms & Complexity