Artificial Intelligence

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. The programme is aimed at existing information technology professionals and those migrating from associated disciplines with the necessary computing and mathematics competencies.

Participants must complete the preparatory Certificate in Artificial Intelligence 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)

Key Fact
This programme is the national programme in Artificial Intelligence supported by Technology Ireland the ICT representative body. ICT Ireland Skillnet, gives a fee subsidy to eligible participants.

Programme Content

Year 1
Autumn Semester
• Introduction to Scientific Computing for AI
• Introduction to Deep Learning and Frameworks

Spring Semester
• Artificial Intelligence and Machine Learning
• Data Analytics

Summer Semester
• Advanced Topics Seminars and Project Specification
• Risk, Ethics, Governance and Artificial Intelligence

Year 2
Autumn Semester
• Machine Vision
• Machine Learning Applications

Spring Semester
• Deep Learning
• Artificial Intelligence and Data Science Ecosystems: Theory And
Practice

Summer Semester
• Project and Dissertation - AI

Category 1: The principal entry requirement 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.

Category 2: Applicants who possess a Level 8 Honours degree in other disciplines, which have a significant mathematics and computing element, will also be considered.

Category 3: Applicants who possess a Level 8 honours degree at minimum second class honours in a non-numerate discipline and have a minimum of three years experiential learning in an appropriate computing discipline may also be considered. A decision on the suitability and relevance of their experiential learning will be made by the University of Limerick.

Category 4: Applicants who do not meet any of the minimum educational requirements but have:

at least seven years work experience in a relevant computing or engineering environment

and/or

are in a senior or supervisory role in a company engaged in activities relevant to the subject matter of the programme;

may be considered under the University of Limerick policy that allows for the Recognition of Prior Learning (both formal and informal/experiential learning), non-accredited personal and professional education; industry-accredited certifications; and work-based training.

What to include in your application:

Scanned original copies of your Award Certificates/Full Transcripts for examinations mentioned on your application form

For Irish/EU applicants– Award certificate with overall award or Final Transcript

Non- EU applicants - Award certificate with overall award and Final Transcript

Graduates of UL need only provide us with their UL Student ID number.

If your qualifications have been obtained in a country where English is an official language this will suffice

If this is not available, the following additional documents must be provided:
• English translation of your qualification(s)/transcripts
AND
• English language competency certificate

A copy of passport for verification of full legal name.

Applicants in Categories 2 to 4 will need to upload a CV* and if applicable other relevant documentation to support their application, such professional certificates, supporting statements, etc.

Applicants in Category 4 will need to complete the RPL (Recognition of Prior Learning) form and submit it with their application.

*Please Note: Preferred CV format to have Educational detail before Employment detail

2 years part-time online Blended