This programme is suitable for those who wish to upskill in computer vision for improved accuracy and efficiency within their workplace. Also, it offers widened opportunities for career advancement. It is of great benefit to a wide range of working professionals, including:

• Software Developers
• Data Scientists
• Engineers
• Product Managers
• Researchers

Overall, this AI for Computer Vision programme benefits those in technical roles which deal with visual data. Graduates with a degree in numerate disciplines, including Engineering, Computer science and Physics, would also benefit from this programme.

Artificial intelligence (AI) with computer vision skills has seen a business application surge in recent years. Computer vision refers to the ability of computers to interpret and understand the visual world, including images and videos. AI with computer vision skills combines this ability with machine learning algorithms to create intelligent systems that can analyse, process, and interpret vast amounts of visual data in real time. Taking an example of use from the manufacturing industry, computer vision algorithms can analyse images of products on an assembly line to identify defects and other issues that would be difficult for humans to detect. This can help improve product quality and reduce waste, leading to cost savings for manufacturers.

We offer a part-time, online Professional Diploma in AI for Computer Vision that will introduce you to the principles of computer vision, develop your knowledge of cutting-edge vision systems, and empower you to apply these skills to your workplace. You will learn about modern Deep Learning approaches to many machine and computer vision problems across a wide range of industry-focused applications, including object detection, 3D image processing and facial recognition.

This innovative Level 9 programme is co-designed with industry. It focuses on peer-to-peer and team learning, critical reflection and feedback incorporating coding challenges in AI and Computer Vision to give you the skills to work confidently in this in-demand area.

Note*This programme is available at both an introductory and advanced level. Information on each pathway can be found under the Programme Content tab below.

Applicants are normally expected to hold a primary honours degree in a related discipline, (minimum H2.2).

Alternative Entry Route:

In accordance with the University's policy on the Recognition of Prior Learning candidates who do not meet the minimum entry criteria may be considered. These candidates will be required to submit a portfolio to demonstrate their technical and/or management experience. An interview with the course admission team is also required to ensure candidates have the experience, motivation, and ability to complete and benefit from this course.

What to Include with your Application

Photo or Scanned original copy of your transcripts for all years of study. (Graduates of UL need only provide us with their Student ID number.) Photo or Scanned copy of passport to verify ID and full legal name. A copy of your most recent CV.

English Language Requirements:

Applicants who do not have English as their first language may satisfy English Language requirements 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

AND

English language competency certificate