Program Description

This full-time Master of Engineering programme in Computer Vision and Artificial Intelligence introduces students to the principles of computer vision, and rapidly advances their knowledge in state-of-the-art vision systems, artificial intelligence algorithms, and machine learning applications. Students will learn about modern Deep Learning approaches to many machine and computer vision problems across a wide range of applications, including object detection, 3D image processing and facial recognition.

The programme is developed in collaboration with industry and focuses on peer and team learning, critical reflection and feedback incorporating coding challenges in AI and Computer Vision so that students are equipped with the skills to work confidently in the area. Computer Vision is an extremely popular subfield of Artificial Intelligence and Computer Engineering that allows a computing system to interpret images and infer high-level understanding and reasoning.  It is widely used in many diverse industries: manufacturing, social media, automotive, virtual reality, augmented reality, robotics, medicine, security, aerospace, consumer electronics, and increasingly in fields such as agriculture, retail, automated driving, and fitness/sport.

A cursory search on any job listing site will demonstrate that there are hundreds of jobs that list computer vision and image processing as required skills in Ireland, and many thousands in the UK, Europe and beyond. This programme, therefore, is suitable for those who want to upskill and pursue a career in computer vision and/or artificial intelligence, working in engineering and technical roles or graduates with a degree in numerate disciplines including Engineering, Computer science and Physics.

Admission Requirements

• Applicants for a Master’s programme must normally have a first or second-class Level 8 honours degree (NFQ or other internationally recognised equivalent) in a relevant or appropriate subject, or equivalent prior learning that is recognised by the University as meeting this requirement. Applicants must also satisfy the English Language Requirements* of the University. The University reserves the right to shortlist and interview applicants as deemed necessary.
• The relevant or appropriate subjects include:
  • Your undergraduate degree must be in a numerate and relevant discipline, e.g., relevant engineering, computing, mathematics, science or technology discipline, or another discipline where significant math and computing elements can be demonstrated.

IELTS Requirements

Listening	Reading	Writing	Speaking	Overall
6	6	6	6	6.5

Remarks:

• Yearly tuition fee is given