Artificial Intelligence - Online

Key programme benefits to future students

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.



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.

Artificial Intelligence (Online)

Year 1

Autumn Modules

• Introduction to Scientific Computing For AI

• Introduction to Deep Learning and Frameworks



Spring Modules

• Artificial Intelligence and Machine Learning

• Data Analytics



Summer Modules

• Advanced Topics Seminars and Project Specification

• Risk, Ethics, Governance and Artificial Intelligence



Year 2 - Choose 1 Stream:

Modern Machine Learning

Autumn: Machine Learning Applications | Machine Vision



Spring: Deep Learning | Artificial Intelligence and Data Science Ecosystems: Theory and Practice



Natural Language Processing

Autumn: Natural Language Processing: An Introduction | Information Retrieval

Spring: Advanced Natural Language Processing | Natural Language Understanding



Computer Vision

Autumn: Deep Learning for Computer Vision | Machine Vision and Image Processing

Spring: Geometric Computer Vision | Intelligent Visual Computing & Applications



Year 2 - Summer:

Research/Development Project

Entry Requirements

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.

2 years part-time, online.

Autumn / Spring

Graduate careers

This programme allows existing professionals to upskill or reskill in the area of Artificial Intelligence and pursue exciting careers in Artificial Intelligence at any level.