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



Summer Modules

Research/Development Project

Cat 1: Applicants should hold a bachelor’s degree (NFQ Level 8) with at least a second-class honour, grade 2 (2:2) in a relevant engineering, computing, mathematics, science or technology discipline



Cat 2: You may also hold a bachelor’s degree (NFQ Level 8) with at least a second-class honour, grade 2 (2:2) in a discipline with a significant mathematics and computing element.



Cat 3: You may also hold a bachelor’s degree (NFQ Level 8) with at least a second-class honour, grade 2 (2:2) in a non-numerate discipline and have a minimum of three years experiential learning in computing.



Cat 4: You may also be considered if you 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.



Important: You also must achieve a second-class honour, grade 2 (2.2) in the Certificate in Artificial Intelligence. This certificate is completed in the first autumn semester.



Other Entry Considerations:



We encourage you to apply even if you don’t meet the standard entry requirements, as long as you can show that you have the knowledge, skills, and experience needed for the programme.



At UL, we value all kinds of learning and support different ways to qualify through our Recognition of Prior Learning (RPL) policy.

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.