Computer Vision and Artificial Intelligence - MEng

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.

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.

Artificial Intelligence and Computer Vision are engineering subjects that require significant mathematical ability. In particular, Linear Algebra is a key mathematical tool that you will require to be successful in this programme. We strongly suggest that you examine the Linear Algebra Self-Assessment Worksheet. If you can comfortably answer the questions, then you will be well equipped for the programme

WHAT TO INCLUDE WITH YOUR APPLICATION:

• 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 AND
• English language competency certificate
• Please click here for Further Information on English Language Requirements *

Guidelines on Completing your Application

• To ensure a speedy assessment of your application, please upload the above documents with your application form – your application cannot be assessed until relevant documentation is uploaded

• Please title appropriately any documents you are uploading with the application form, for example "Supporting Statement", "Undergraduate Transcript", "Postgraduate Transcript", "English Language Certificate" etc.

International students can find more information on eligibility requirements here.