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Computer Vision and Artificial Intelligence - MEng

Gain in-demand computer vision skills for jobs in Ireland and globally with the Master of Engineering in Computer Vision and Artificial Intelligence

Key information

EU fees per year €8,200
Non-EU fees per year €20,400
NFQ Level NFQ Level 9 Major
Duration One year
Attendance Full-time
Programme type Taught
Start date September
Award Masters

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.

During this programme, you will

  • 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. 

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