Computer Vision and Artificial Intelligence - Postgraduate Diploma
Program Overview
This one-year Postgraduate Diploma in Engineering program equips graduates with skills in computer vision and artificial intelligence through courses in machine learning, data engineering, and deep learning. The program emphasizes industry collaboration, team learning, and coding activities, preparing students for careers in technical roles within these fields.
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)
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.
- The program is suitable for those who want to upskill and pursue a career in computer vision and/or artificial intelligence.
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 full-time and lasts for 1 year.
- The program is offered in the Autumn/Fall intake.
- The program is a Postgraduate Diploma of Engineering.
- The program is offered by the Faculty of Science and Engineering.
- The program is a taught program.
- The program is a Level 9 Major Award on the NFQ.
EU - €7,000 Non-EU - €18,087
Entry Requirements:
Applicants for a Postgraduate Diploma 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.
