Computer Vision and Artificial Intelligence - MEng
Program Overview
This Master of Engineering program combines computer vision and artificial intelligence, equipping graduates with the skills to work in engineering and technical roles within these fields. Graduates will be prepared for careers such as computer vision and artificial intelligence engineers, machine learning engineers, data scientists, and research scientists. The program emphasizes peer and team learning, critical reflection, and feedback, incorporating coding activities in AI and computer vision.
Program Outline
Outline:
- Autumn 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)
- Spring Semester:
- 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)
- Summer Semester:
- Option 1: Master of Engineering Project – Computer Vision and AI (CE6025)
- Option 2: Digital Futures and Innovation Stream
- Strategic Foresight and Systems Change (MG5013)
- Designing Market Futures (MG5023)
- Futures Mindset and Competence Portfolio (MG5003)
Careers:
- Graduates will be equipped with the skills to work effectively in the area of computer vision and/or artificial intelligence, working in engineering and technical roles.
- Potential career paths include:
- Computer vision engineer
- Artificial intelligence engineer
- Machine learning engineer
- Data scientist
- Research scientist
Other:
- The program is developed with industry and focuses on peer and team learning, critical reflection, and feedback incorporating coding activities in AI and Computer Vision.
- The program 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.
EU - €7,430 Non- EU - €18,900
Entry 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.
