Artificial Intelligence at University of St Andrews - UCAS

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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
Additional optional modules: Students may take up to two of the following:
  • 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
Students may take up to two of the following:
  • Database Management Systems
  • Information Security Management
  • Web Technologies
Dissertation Project: During the second semester, students work with staff to define and agree upon a topic for the extended project, which they will work on during the final three months of the course, and which finishes in a 15,000-word dissertation. Dissertation projects may be group-based or completed individually (students are assessed individually in either case). The dissertation typically comprises:
  • a review of related work
  • the extension of existing ideas or the development of new ideas
  • software implementation and testing
  • analysis and evaluation.
Students are required to give a presentation of their work in addition to the written dissertation. Each project is supervised by one or two members of staff, typically through regular meetings and reviews of software and dissertation drafts. If students choose not to complete the dissertation requirement for the MSc, there is an exit award available that allows suitably qualified candidates to receive a Postgraduate Diploma instead, finishing the course at the end of the second semester of study.

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

Additional fee information

For the most current information on course fees please visit https://www.st-andrews.ac.uk/study/fees-and-funding/postgraduate/taught/.

Sponsorship information

Carnegie-Cameron bursaries; entrant accommodation bursary; Formula Santander postgraduate scholarship; recent graduate discount; Thomas and Margaret Roddan Trust bursary; SAAS postgraduate funding.

Artificial Intelligence at University of St Andrews - UCAS