MSci Computer Science (Artificial Intelligence)
Royal Holloway, University of London
Entry requirements
A level: AAA-AAB (Required subjects: Computer Science or Mathematics or Physics. GCSE Mathematics at grade 6 (B) GCSE English Language at grade 4 (C) If you are 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: 6,6,6 at Higher level or 36 points overall. Including either Physics, Computer Science or 6 HL Maths: Analysis & Approaches/7 HL Maths: Applications & Interpretation/7 SL Maths: Applications and Interpretations
About this course
MSci in Computer Science and Computer Science (Artificial Intelligence), combining core computing with a specialism in AI. Core topics include Programming, Computer Architecture, Embedded Systems, Statistics, Data Analysis, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The programme includes an optional year in industry and culminates in a final-year AI project.
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
- Computational Finance
- Intelligent Agents and Multi-agent Systems
- Machine Learning
- Semantic Web
- Data Visualisation and Exploratory Analysis
- Advanced Data Communications
- Concurrent and Parallel Programming
- Interconnected Devices
- Applications of Cryptography
- Critical Infrastructure Security
- Digital Forensics
- Malicious Software
- Smart Cards, RFIDs and Embedded Systems Security
- Human-computer Interaction
- IT Project Management
- Software Language Engineering
- Bioinformatics
- Compilers and Code Generation
- Computational Optimisation
- Digital Audio and Applications
- Functional Programming and Applications
- Computer Science (Artificial Intelligence) MSci Project
- Methods of Computational Finance
- Data Analysis
- Deep Learning
- Advanced Distributed Systems
- Large Scale Data Storage and Processing
- Wireless Sensor and Actuator Networks
- Secure Business Architectures
- Security Management
- Security Testing Theory and Practice
- Running a small business
- Standards, IP and Technology seminar series
- Technology Entrepreneurship
- Artificial Intelligence Principles and Techniques