Course Details

Course Code(s):
Course Start Date:
1 Year
NFQ Level 9 Major Award
Faculty: Science and Engineering
Course Type: Taught
Fees: For Information on Fees, see section below.


Name: Dr Ciaran Eising
Name: Dr Tony Scanlan

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Brief Description

This full-time Master of Engineering programme in Computer Vision and Artificial Intelligence introduces students to 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 with industry and focuses on peer and team learning, critical reflection, and feedback incorporating coding activities in AI and Computer Vision so that students are equipped with the skills to work effectively in the area.

Alternative programmes in this discipline include: 

Computer Vision and Artificial Intelligence – Postgraduate Diploma (full-time, taught)  

Artificial Intelligence for Computer Vision – Professional Diploma (part-time, online

Artificial Intelligence with Computer Vision Stream – MSc (part-time, online)


Computer Vision is an extremely popular  Artificial Intelligence and Computer Engineering subfield that allows a computing system to interpret images and infer high-level 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.

In the first semester, you will study technical concepts in artificial intelligence, machine learning, and computer vision. In the second semester, you will take a deeper dive into applications of computer vision and AI, while also delving into transferrable skills in governance, ethics, and research methods. In the Summer Semester, students will either complete a capstone project in the areas of Computer Vision and/or Artificial Intelligence, or they will generate a portfolio through the Digital Futures and Innovation stream.

Autumn Semester

Spring Semester

Summer Semester

  • Introduction to Data Engineering and Machine Learning (CE4051)
  • Artificial Intelligence (CE4041)
  • Machine Vision (CE6021)
  • Computer Vision Systems CE6023

  • Evolutionary Computation and Humanoid Robotics (CS6271)
  • Introduction to Engineering Research Methods (CE6026)
  • Data Governance and Ethics IN6062
  • Deep Learning at the Edge EE6008
  • Geometric Computer Vision CE5002
  • Deep Learning for Computer Vision (CE5021)


Option 1: Master of Engineering Project – Computer Vision and AI

Master of Engineering Project – Computer Vision and AI (CE6025)


Option 2: Digital Futures and Innovation Stream

A small cohort may elect to join the Digital Futures and Innovation programme, in which you will develop a portfolio in place of the project thesis.

Strategic Foresight and Systems Change (MG5013)

Designing Market Futures (MG5023)

Futures Mindset and Competence Portfolio (MG5003)

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.

*  English Language Requirements: Please refer to


  • Qualification transcripts and/or certificates (including certified English translations if applicable)
  • A one page supporting statement
  • A copy of your birth certificate or passport
  • If your qualifications have been obtained in a country where English is an official language this will suffice
  • If this is not available, the following additional documents must be provided:
    • English translation of your qualification(s)/transcripts
    • English language competency certificate

For more information Click Here

EU - €7,430 

Non- EU - €18,900

Further information on fees and payment of fees is available from the Student Fees Office website. All fee related queries should be directed to the Student Fees Office (Phone: +353 61 213 007 or email


Please click here for information on funding and scholarships.

Over recent years Irish Manufacturing Research (IMR) has observed an escalating demand for individuals equipped with advanced skills in AI and in particular Computer Vision. IMR is Ireland’s leading manufacturing Research and Technology Organisation and through our manufacturing industry network, we have recognised a pressing need for professionals proficient in Computer Vision and the Machine Learning lifecycle to address the skills shortage in this area. The dynamic landscape of modern industry is undergoing a transformative shift, with AI and Computer Vision at its core. At IMR, we actively seek engineers and researchers possessing the expertise nurtured through specialized courses like the MEng Computer Vision and Artificial Intelligence offered at the University of Limerick, in order to continue to support and improve the competitiveness of Irish manufacturing companies. IMR enthusiastically supports and encourages the establishment of the MEng Computer Vision and Artificial Intelligence course. We remain committed to fostering a collaborative relationship with the University of Limerick to nurture and harness the talent emerging from this program. Ultimately the skills and talent arising from this course will support IMRs vision of de-risking, demystifying and delivering impactful research.

- Micheal Cassidy, Chief Technical Officer, Irish Manufacturing Research (IMR)

IMR is a cross-sectoral research and technology centre with partner companies in semiconductors, Information & Communications Technology (ICT), pharmaceuticals, medical devices, food, energy services, aerospace and other areas.


AMCS is a global leader of enterprise management software and vehicle technology for the ESG, EHS, environmental management and recycling industries. We have invested heavily in computer vision and AI within our products to drive value for our customers using the latest emerging technologies. At AMCS, we are actively seeking experienced and graduate engineering candidates in AI, computer vision and software engineering, such as graduates from the MEng in Computer Vision and AI at the University of Limerick to enable us to continue to drive technological advances to our customers and their end users.

- Dr. Eamon Hynes, Chief Technical Officer, AMCS Group