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During this module, you will: 

Build an understanding in image formation, camera basics and how digital images are represented, processed and analysed. 

Apply linear image processing techniques such as smoothing and sharpening, along with morphological operations and edge detection algorithms like Canny and Hough Transform. 

Explore advanced feature detection including Harris Corner Detection and SIFT descriptors, enabling object tracking and scene analysis. 

Understand how machine learning is applied in vision systems, through classical the classical Viola Jones and HOG object detectors, including an introduction to Deep learning with CNN classifiers. 

Key Information 

This micro-credential will be delivered online over 6 weeks. 

You will be assessed using continuous skill-based assignments with no final exam. 

Part-time considerations:     

• Designed for working professionals     

• Evening or recorded lectures     

• Additional prep and group work time through form activities, individual learning via coding assignments, and peer learning through forum discussions.   

• Timetable provided after registration  

• To help you to be successful on this course: 

• Applicants should hold a bachelor’s degree ( Level 8) with at least a second class honours, grade 2 (2:2) in in a cognitive discipline.  

• You should have at least 5 years of relevant industrial work experience.   

• If applicants have a lower result or an unrelated qualification, they may be considered on a case-by-case basis if they can provide evidence of 1 year of post-degree industrial experience in Computer Science/IT/Computer Engineering or related disciplines and familiar with coding preferably with Python. (Recognised Prior Learning).  

• Guidelines for your applications:  

• When applying, be sure to include the Module Code CE5011. We can’t process your application without it. You can apply for more than one module using the same application.  

• By applying, you confirm that you meet the entry requirements and can take part in the course and its assessments.  

• This course will go ahead if it meets minimum enrolment number.  

• Completing this module doesn’t guarantee you a place in a full programme. If you want to apply for a full programme, you must meet the specific entry requirements for that programme. 

EU - €1,292

Non-EU - €1,292

Further information on fees and payment of fees is available from the website. All fee related queries should be directed to the Student Fees Office (Phone: +353 61 213 007 or email student.fees.office@ul.ie).  

Other funding  

Find further information on funding and scholarships.

This micro-credential can lead to the following sectors and careers: 

• Computer vision and machine learning roles across software, robotics, and automation industries 

• R&D positions in medical imaging, manufacturing, or autonomous systems 

• Engineering or IT professionals seeking upskilling in vision systems for industrial applications 

• Further study in AI, computer vision, or engineering at postgraduate level