Artificial Intelligence (Online)

Entry requirements

• 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.

Months of entry

January, September

Course content

Programme Intake: September – There is an option to enter this Masters in January if you have already completed the Certificate in AI or if you satisfy suitability criteria. Contact programme administrator Claire Gallery (claire.gallery@ul.ie) for further information.

Progress your career as an IT professional with in-demand skills in AI and Machine Learning with UL’s two-year, part-time Master of Science (MSc) in Artificial Intelligence.

The programme provides IT professionals and those migrating from associated disciplines with a deep understanding of the modern AI and machine learning approaches, with a focus on practical applications, as well as the risks and ethical issues associated with AI.

In the second year, students are given the option to focus on machine learning, natural language processing or computer vision and present a dissertation on a relevant AI-related problem.

The programme was developed with extensive input from Technology Ireland ICT Skillnet and UL’s Industry Advisory Board to ensure the content is relevant to industry.

• Acquire knowledge and skills in the application of Artificial Intelligence and Machine Learning.

• Explore relevant subjects in a self-driven manner, with expert support from module leaders and moderators.

• Gain an understanding of the key principles and methods in Machine Learning, Natural Language Processing or Computer Vision.

• Benefit from a mixed learning process with an emphasis on practical applications.

Information for international students

• Postgraduate Entry Requirements for International Students
• English Language Requirements

Visa Information for non-EEA nationals:

Non-EEA nationals who wish to come to study in Ireland for longer than 90 days must be enrolled in a full-time day time course or programme on the Interim List of Eligible Programmes (ILEP)

Courses that are delivered fully online may also be offered to non-EEA nationals, however students should be advised that they will not be eligible to come to Ireland to study the programme and will have to study it from their home country remotely.

Email ULGlobal@ul.ie for further information.

Fees and funding

• Sports Scholarships