Computer Vision and Artificial Intelligence

Entry requirements

• Applicants should hold a bachelor’s degree (NFQ Level 8) with at least a second-class honour, grade 2 (2:2) in a relevant discipline like engineering, computing, mathematics, science or technology discipline, or another discipline where significant math and computing elements can be demonstrated.

• The university may shortlist and invite you to an interview.

Linear Algebra is a key mathematical requirement for this programme. If you can answer the questions in the Linear Algebra Self-Assessment Worksheet, you will be well equipped for the course.

Admission to the programme is a competitive process, and unfortunately not all applicants that meet the criteria will be offered a place.

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

September

Course content

Are you looking to gain much sought after skills in an extremely popular field within AI that allows a computing system to interpret images and infer high-level reasoning.

UL's Master of Engineering (MEng) in Computer Vision and Artificial Intelligence will enable you to rapidly progress your knowledge of state-of-the-art vision systems, artificial intelligence algorithms, and machine learning applications.

Computer Vision allows a computing system to interpret images and infer high-level reasoning. It is used across a vast amount industry from social media to manufacturing.

The programme has a strong focus on real-world industrial application that will equip you with the skills to work effectively in the AI and Computer Vision area.

It is suited to graduates or professionals with strong mathematics and computing backgrounds seeking to specialise in mechatronics, automation, or smart manufacturing.

There is also an option to study a similar programme part-time and online through the Professional Diploma in AI for Computer Vision or the MSc in AI – with Computer Vision Stream.

• Develop knowledge in state-of-the-art vision systems, artificial intelligence algorithms, and machine learning applications.

• Learn about modern Deep Learning approaches to many machine and computer vision problems.

• Acquire Computer Vision skills that are widely used in a range of industries, including automotive, virtual reality, augmented reality, robotics, medicine, security, aerospace and consumer electronics.

• Deliver a significant digital futures project or piece or research in the area to apply and deepen your learning.

Information for international students

• Postgraduate Entry Requirements for International Students
• English Language Requirements

Email ULGlobal@ul.ie for further information.

Fees and funding

• Scholarships for International Students
• Sports Scholarships