Artificial Intelligence


In the last decade the advances in Artificial Intelligence have made it at the forefront of technology, with many advances improving our daily lives.

Such is its importance that AI has become a national priority in many countries, including the UK, US, China, and India.

As a result, there is a huge demand for specialist graduates with advanced AI knowledge and skills.

Studying MSc Artificial Intelligence at Queen’s provides you with the building blocks required for a career in the AI sector, as a researcher or an engineer.

Course Structure

Through a combination of lectures, tutorials, and practical learning you will investigate the fundamentals of AI and the latest AI technologies. By familiarising yourself with the main areas of AI that are already being used in industry you will be primed to push this learning even further. With each module acting as a building block that allows you to work towards a themed research project.

Course Structure

Students may enrol on a full-time (1 year) or part-time (3 years) basis.

Normally, taught modules are delivered using “block mode” delivery. In block mode delivery, modules are delivered in sequence, with each individual module being taught in a 4-week period. This consists of face-to-face teaching (lectures/labs) timetabled between 9am and 5pm for two and half days per week, over three weeks. The fourth week in the module block is typically reserved for coursework and independent study.

We provide flexibility for self-directed learning by making teaching materials available online but it is typically expected that both full-time and part time / PG Cert students are generally available for the timetabled contact hours.

Full-time students typically complete three modules per semester. Part-time students typically complete one or two modules per semester.

The MSc is awarded to students who successfully complete six taught modules (120 CATS points) and a 15,000 - 20,000 word research dissertation (60 CATS points ).

Other options available are:

- Postgraduate Diploma (by successfully completing 120 CATS points from taught modules)

- Postgraduate Certificate (by successfully completing 60 CATS points from taught modules).

Subjects taught

The information below is intended as an example only, featuring module details for the current year of study (2023/24). Modules are reviewed on an annual basis and may be subject to future changes – revised details will be published through Programme Specifications ahead of each academic year.

Year 1

Core Modules

Computer Vision (20 credits)

Natural Language Processing (20 credits)

Themed Research Project (60 credits)

Machine Learning (20 credits)

Knowledge Engineering (20 credits)

Foundations of AI (20 credits)

Artificial Intelligence for Health (20 credits)

Entry requirements


Normally a 2.1 Honours degree or equivalent qualification acceptable to the University in Computer Science, Software Engineering, Electrical and/or Electronic Engineering, Mathematics with Computer Science, Physics with Computer Science or a related discipline. Applicants must normally have achieved 2:1 standard or above in relevant modules.

Applicants who hold a 2.2 Honours degree and a Master’s degree (or equivalent qualifications acceptable to the University) in one of the above disciplines will be considered on a case-by-case basis.

All applicants will be expected to have mathematical ability and significant programming experience as evidenced either through the content of their primary degree or through another appropriate formal qualification.

Applications may be considered from those who do not meet the above requirements but can provide evidence of recent relevant technical experience in industry, for example, in programming.

The University's Recognition of Prior Learning Policy provides guidance on the assessment of experiential learning (RPEL). Please visit for more information.

The deadline for applications is normally 16th August 2024. However, we encourage applicants to apply as early as possible. In the event that any programme receives a high number of applications, the University reserves the right to close the application portal earlier than 30th June deadline. Notifications to this effect will appear on the Direct Application Portal against the programme application page.

Please note: a deposit will be required to secure a place.


1 year (Full Time), 3 years (Part Time)

Enrolment dates

Entry Year: 2024/25

More details
  • Qualification letters


  • Qualifications

    Degree - Masters at UK Level 7

  • Attendance type

    Full time,Part time,Daytime

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