University of Limerick

Overview

The Computer Vision and Artificial Intelligence programme at the University of Limerick equips students with the skills to design and implement cutting-edge AI systems capable of interpreting images and video. The curriculum focuses on essential machine learning and deep learning techniques, linking theoretical knowledge to practical applications in various computer vision scenarios.

This programme is tailored for graduates and professionals who possess a robust background in computing and mathematics, facilitating career advancements in AI engineering, computer vision research, and applied positions in sectors such as robotics, healthcare, manufacturing, and security.

What you'll study

The programme comprises advanced modules in artificial intelligence and computer vision, complemented by hands-on learning experiences and a final project.

Indicative modules include:

• Artificial Intelligence
• Machine Vision
• Computer Vision Systems
• Evolutionary Computation and Humanoid Robotics
• Data Governance and Ethics
• Deep Learning at the Edge

Capstone / project component: Students will engage in a significant digital futures project or research initiative, applying their knowledge and skills in a structured, outcome-oriented manner.

Learning approach: The curriculum emphasizes both technical depth and practical application, enabling students to relate algorithm development and modeling to system-level challenges in vision and AI.

Entry requirements

Applicants should have a strong academic background, typically requiring a Lower Second Class degree or its equivalent. It is advisable to review specific GPA expectations as they may vary by institution.

Career prospects

Graduates of this programme will find opportunities in various fields, including AI engineering, research in computer vision, and applied roles across diverse industries. With the increasing demand for expertise in AI and computer vision, graduates are well-positioned for successful careers in a rapidly evolving technological landscape.