The course

Delivery
Full-time, Part-time, Per course
Course type
Taught
Location
Edinburgh
Entry date
September

Contact

MACS postgraduate scholarships

Some scholarships of £2,500 will be awarded to outstanding applicants to any of our Computer Science MSc programmes. Find out more.

Overview

Our MSc in Artificial Intelligence aims to impart the understanding and skills to develop intelligent software applications, such as those involving evolutionary computation and learning.

Students will develop skills in specialist areas with clear applications in industry, including data mining, pattern recognition and machine learning. The MSc project in some cases can be carried out iin collaboration with an outside industrial or academic organisation.

Further details are available here.

Programme duration

This full-time programme starts in September and lasts one year. The programme can also be taken part-time over 2 years or as a 9 month Postgraduate Diploma.

Professional recognition

This programme is accredited by the British Computer Society.

Course content

   Detailed course guide

Full-time students take 4 courses each semester and must normally take all core courses.

Core Courses:

  • Biologically Inspired Computation
  • Data Mining and Machine Learning
  • Intelligent Robotics
  • Research Methods and Project Planning
  • Masters project and dissertation

Optional Courses:

  • 3D Graphics and Animation
  • Advanced Interaction Design
  • Advanced Software Engineering
  • Artificial Intelligence and Intelligent Agents
  • Computer Games Programming
  • Conversational Agents and Spoken Language Processing
  • Data Visualisation and Analytics
  • Rigorous Methods for Software Engineering
  • Software Engineering Foundations

After semester 2, students continue full-time on the MSc project.

Further details are available here

Project

In the third semester (May-August) students undertake a specialist MSc project which is written up as a 15000 word dissertation. This project enables further development and consolidation of skills introduced in the taught courses, applying them to a challenging practical problem in this subject area.