The University of Limerick is a prestigious institution known for its excellence in teaching, research, and innovation. Situated on a beautiful riverside campus, the university offers a diverse range of programs across disciplines such as arts, humanities, social sciences, business, education, engineering, science, and health sciences. With a strong commitment to experiential learning and industry engagement, the University of Limerick provides students with opportunities to gain practical skills, work experience, and develop a global perspective. The university's vibrant campus life, state-of-the-art facilities, and supportive community contribute to a transformative educational experience.

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The programme runs over 2 years with 5 teaching semesters and 1 research project semester and includes a Certificate in Artificial Intelligence awarded at level 8 of the National Framework of Qualifications at the end of the first semester. Aimed at existing information technology professionals and those migrating from associated disciplines with the necessary computing and mathematics competencies, this programme will provide participants with robust knowledge and skills in the application of Artificial Intelligence and Machine Learning. Certificate in Artificial Intelligence 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). The 12 credits gained by completing the two Certificate modules will count towards the 90 credits of the MSc in Artificial Intelligence. Delivery One distinguishing quality of this programme is that each and every module delivered on this programme was designed specifically for this programme. ICT Skillnet and our Industry Advisory Board provided extensive input to ensure content is relevant to industry, and online delivery is at the core of the pedagogical approach. As a result, all modules are structured around a number of so-called E-tivities. These allow you to explore relevant subjects in a self-driven manner, with expert support from module leaders and moderators who guide students in smaller groups. This type of learning has been demonstrated to be an extremely efficient method of learning. The programme is delivered primarily via on-line lectures, supported with tutorials and assignments. 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. Expected study time is 15-20 hours per week/module. A major dissertation project will be selected and specified within the first year and completed throughout the second year. Show less

Year 1:
Autumn Semester:

Introduction To Scientific Computing For AI (M)
Introduction To Deep Learning And Frameworks
Spring Semester:

Artificial Intelligence And Machine Learning (M)
Data Analytics (M)
Advanced Topics Seminars and Project Specification
Risk, Ethics, Governance And Artificial Intelligence
Summer Semester:

Advanced Topics Seminars and Project Specification
Risk, Ethics, Governance And Artificial Intelligence
Year 2:
Autumn Semester:

Machine Learning Applications
Machine Vision
Natural Language Processing: An Introduction (M)
Information Retrieval
Deep Learning for Computer Vision
Machine Vision and Image Processing
Spring Semester:

Deep Learning
Artificial Intelligence and Data Science Ecosystems: Theory And Practice
Advanced Natural Language Processing
Natural Language Understanding
Geometric Computer Vision
Intelligent Visual Computing & Applications
Summer Semester:

Research/Development Project

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