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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.
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 on Computer Vision and/or Artificial Intelligence, or they will generate a portfolio through the Digital Futures and Innovation stream.
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 https://www.ul.ie/gps/about/entry-requirements/english-language-requirements
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
• English language competency certificate
For more information Click Here
EU - €6,950
Non- EU - €17,702
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 firstname.lastname@example.org.)