Msc artificial intelligence with industrial experience computer science

Structure

MSc Artificial Intelligence is currently available for one-year full-time study, two years part-time study.

The programme is organised in three semesters.

The first semester has four modules that operate on a 3+1 scheme: 3 core modules that cover the foundational machine learning techniques and introduction of Artificial Intelligence for Games (e.g., AlphaGo); and 1 optional module to select from three other AI topics (vision, music and language).

The second semester has four modules that are themed around all five AI topics offered. The module selection allows you to focus on topic-specific research or industry applications for AI. More importantly, these module options allow you to gain advanced and up-to-date knowledge on selected AI topics.

In the third semester, you will carry out a large project on the AI topic that they want to specialise in, after agreeing on a specific topic with an academic supervisor in the first semester, and completing the preparation phase over the second semester.

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Important note regarding part-time study

We regret that, due to complex timetabling constraints, we are not able to guarantee that lectures and labs for part time students will be limited to two days per week and we do not currently support any evening classes. If you have specific enquiries about the timetabling of part time courses, please contact the Postgraduate Course Administrator.

Semester 1

• Machine Learning (15 credits)
• Data Mining (15 credits)
• Artificial Intelligence and Games (15 credits)

Further option:

• Introduction to Computer Vision (15 credits)
• Music Perception and Cognition (15 credits)
• Natural Language Processing (15 credits)

Semester 2

Four options from:

• Advanced Robotics Systems (15 credits)
• Music Analysis and Synthesis (15 credits)
• Information Retrieval (15 credits)
• Artificial Intelligence (15 credits)
• Music and Speech Modelling (15 credits)
• Deep Learning and Computer Vision (15 credits)
• Machine Learning for Visual Data Analysis (15 credits)
• Neural Networks and NLP (15 credits)
• Multi-platform Game Development (15 credits)

Semester 3
(compulsory)

• Project (60 credits)

Year 2
(compulsory)

• Industrial Placement Project

Please note that modules are subject to change.