Course Details

Course Code(s):
PGCAINTFAD
Available:
Full-Time
Intake:
Autumn/Fall
Course Start Date:
September
Duration:
1 Year, Full-Time
Award:
Postgraduate Diploma
Qualification:
NFQ Level 9 Major Award
Faculty: Science and Engineering
Course Type: Taught
Fees: For Information on Fees, see section below.

Contact(s):

Name: Dr Ciaran Eising
Email: ciaran.eising@ul.ie
Express Interest.

Register your interest here for more information or to be notified when applications are open.

Brief Description

This full-time Postgraduate Diploma of Engineering programme in Computer Vision and Artificial Intelligence introduces students to computer vision and rapidly advances their knowledge in state-of-the-art vision systems, artificial intelligence algorithms, and machine learning applications. Students will learn about modern Deep Learning approaches to many machine and computer vision problems across a wide range of applications, including object detection, 3D image processing, and facial recognition.

The programme is developed with industry and focuses on peer and team learning, critical reflection, and feedback incorporating coding activities in AI and Computer Vision so that students are equipped with the skills to work effectively in the area.

Please register your interest to be notified when applications are being accepted to the programme.

Alternative programmes in this discipline include: 

Computer Vision and Artificial Intelligence – MEng (full-time, taught)

Artificial Intelligence for Computer Vision – Professional Diploma (part-time, online)

Artificial Intelligence for Computer Vision – Professional Diploma (part-time, online)

Computer Vision is an extremely popular Artificial Intelligence and Computer Engineering subfield that allows a computing system to interpret images and infer high-level reasoning.  It is widely used in many diverse industries: manufacturing, social media, automotive, virtual reality, augmented reality, robotics, medicine, security, aerospace, consumer electronics, and increasingly in fields such as agriculture, retail, automated driving, and fitness/sport.

A cursory search on any job listing site will demonstrate that there are hundreds of jobs that list computer vision and image processing as required skills in Ireland, and many thousands in the UK, Europe, and beyond. This programme, therefore, 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.

In the first semester, you will study technical concepts in artificial intelligence, machine learning, and computer vision. In the second semester, you will take a deeper dive into applications of computer vision and AI, while also delving into transferrable skills in governance, ethics, and research methods. 

Autumn SemesterSpring Semester
  • Introduction to Data Engineering and Machine Learning (CE4051)
  • Artificial Intelligence (CE4041)
  • Machine Vision (CE6021)
  • Computer Vision Systems (CS6461)
  • Artificial Intelligence and Governance (IN6031)
  • Introduction to Engineering Research Methods (CE6026)
  • Theory and Practice of Advanced AI Ecosystems (CS5024)
  • Deep Learning at the Edge (EE6008)
  • Geometric Computer Vision (CE5002)
  • Deep Learning for Computer Vision (CE5021)

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.

Artificial Intelligence and Computer Vision are engineering subjects that require significant mathematical ability.  In particular, Linear Algebra is a key mathematical tool that you will require to be successful in this programme. We strongly suggest that you examine the Linear Algebra Self-Assessment Worksheet. If you can comfortably answer the questions, then you will be well equipped for the programme.

WHAT TO INCLUDE WITH YOUR APPLICATION:

  • Qualification transcripts and/or certificates (including certified English translations if applicable)
  • A one page supporting statement
  • A copy of your birth certificate or passport
  • 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
  • Please click here for Further Information on English Language Requirements* 

 

EU - €7,000 

Non-EU - €18,086

Further information on fees and payment of fees is available from the Student Fees Office 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.) 

Please click here for information on funding and scholarships.