WHO THIS COURSE IS AIMED AT:
The programme is aimed at existing information technology professionals and those migrating from associated disciplines with the necessary computing and mathematics competencies.
HOW IT WORKS:
The programme will run for two-years part-time including the preparatory Certificate in Artificial Intelligence course.
Award: Master of Science
Qualification: NFQ Level 9, Major Award, 90 credits
Delivery: Part-time, Online, Distance Learning,
Duration: 2 Years
Start Dates: September
Faculty: Science and Engineering
An exciting two-year part-time programme to give current and potential AI engineers the skills, theory and recognition they need to develop in their role.
Candidates can gain a full MSc degree in this specialist area through a mixed learning process with an emphasis on practical application in the workplace.
CERTIFICATE IN ARTIFICIAL INTELLIGENCE
Participants must complete the preparatory Certificate course to the equivalent of a 2nd class honours level to be eligible for entry to the Masters, regardless of their prior qualifications or experience.
Successful completion of the preparatory Course will lead to the award of a Certificate in Artificial Intelligence by UL (Special Purpose Award, Level 8, 12 ECT credits)
MSc IN ARTIFICIAL INTELLIGENCE
Delivered fully online, including all exams and assessments
Assessment is largely based on assignments and project work with a practical rather than theoretical focus.
Modules will be delivered with associated assessment of mastery so that semester by semester there is a confirmed and measurable achievement of learning objectives that can be transferred directly and immediately to the workplace.
A major dissertation project will be selected and specified within the first year and completed throughout the second year.
The principal entry requirement for both the Masters course and the Certificate Course is a Level 8 honours degree, at minimum second class honours (NFQ or other internationally recognised equivalent) in a relevant engineering, computing, mathematics, science or technology discipline. Applicants from other disciplines who have a significant mathematics or computing (i.e. programming) element in their primary degree will also be considered.
Applicants who possess an honours undergraduate degree, at minimum second-class honours, or equivalent in a non-numerate discipline and have a minimum of three years experiential learning in an appropriate computing discipline (with a high level of either mathematics or programming) may also apply.
Applicants who do not meet the requirements above may be considered under the University of Limerick Recognition of Prior Learning policy.
For course content and delivery queries please contact Mags Dunne, University of Limerick: firstname.lastname@example.org