Course Summary
This Master’s degree programme offers a technical in-depth exploration of the area of AI.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
Entry to the MSc in Artificial Intelligence will require a minimum of a Level 8 honours degree in Computer Science, Engineering, Computing or an honours degree in a cognate discipline. As this is an expert-level programme, it is essential for applicants to have a strong proficiency in mathematics, including statistics, and an advanced level of coding competency in a modern high-level computer programming language such as Python or Java. Applicants who do not meet the above criteria will be considered on a case-by-case basis.
What is RPL?
Recognition of Prior Learning (RPL) is when formal recognition is given for what you already know prior to starting on a programme or module. With recognition of prior learning, the focus is on learning and not on experience as such. You can apply for RPL in any MTU-accredited programme or module. Programmes which are accredited by professional bodies or any external awarding bodies may have their own procedures for RPL, which you should refer to.
Application Details
Part-time, Online.
Application Deadline Friday 5th, September 2026
Fees
€8,250 in total (payment by instalments is an option).
Please note that applicants will be required to pay an acceptance fee of €500 online if a place on a course is offered. This fee is deductible from the overall course fee.
Note: You will not be charged for applying for the programme by clicking the 'apply now' button, you are only asked to pay an acceptance fee if a place is offered to you, and you wish to accept it.
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
Duration
This is a two-year part-time programme taught over 24 months (4 semesters). The programme is delivered and accessed fully online using state-of-the-art cloud-based technologies. Lectures are delivered online at night, streamed live over the Internet and recorded to facilitate easy playback for students. This offers great flexibility for students, as they can access lectures and labs anytime, anywhere, on any device with a web browser.