Course summary
The MSc in Artificial Intelligence is an advanced research-led course in the study of artificial intelligence, developing students' skills in logic, constraint programming, language processing, machine learning and neural networks.
Modules
Compulsory modules: 1. Object-oriented modelling, design and programming 2. Artificial intelligence principles 3. Artificial intelligence practice Students should take at least one of: 1. Constraint Programming 2. Language and Computation 3. Machine Learning Optional modules: The following modules are optional for Computer Science programmes. Not all combinations of modules will be available for all programmes, and some modules are subject to pre-requisites being satisfied. Students choose two or three optional modules. In the 'Additional optional' lists, students can only take up to two of the modules in each list. Here is a sample of optional modules that may be offered.
- Critical Systems Engineering
- Data Ethics and Privacy
- Data-Intensive Systems
- Human Computer Interaction Principles and Methods
- Information Visualisation
- Interactive Software and Hardware
- Knowledge Discovery and Datamining
- Principles of Computer Communication Systems
- Software Architecture
- Software Engineering Practice
- Software Engineering Principles
- User-Centred Interaction Design
- Advanced Communication Networks and Systems
- Computer Architecture
- Computer Graphics
- Computer Security
- Concurrency and Multi-Core Architectures
- Distributed Systems
- Logic and Software Verification
- Programming Language Design and Implementation
- Signal Processing: Sound, Image, Video
- Video Games
- Database Management Systems
- Information Security Management
- Web Technologies
- a review of related work
- the extension of existing ideas or the development of new ideas
- software implementation and testing
- analysis and evaluation.
Assessment method
Most modules are assessed through practical coursework exercises and examinations. All students will be required to complete a Post Entry Language Assessment (PELA) on arrival at the University of St Andrews. Based on their performance in this assessment, students will be advised to attend targeted support sessions during the year to improve language and academic skills. This assessment is required, but will not count towards the final degree classification.
Entry requirements
A 2.1 Honours undergraduate degree in Computer Science, or strongly related discipline. If you studied your first degree outside the UK, see the University's international entry requirements.
English language requirements
For the current English Language requirements please visit the English language requirements for postgraduate students on the University of St Andrews website.
English language requirements for postgraduate students
https://www.st-andrews.ac.uk/subjects/entry/language-requirements/postgraduate/
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Carnegie-Cameron bursaries; entrant accommodation bursary; Formula Santander postgraduate scholarship; recent graduate discount; Thomas and Margaret Roddan Trust bursary; SAAS postgraduate funding.
Provider information
University of St Andrews
College Gate
St Andrews
KY16 9AJ