Course Details

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

Contact(s):

Name: Dr. Brendan Mullane
Email: Brendan.Mullane@ul.ie
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Read instructions on how to apply

Express Interest.

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

Brief Description

Next Intake: September 2024

We are delighted to inform you that funding up to 100% is now available through the Springboard/HCI Pillar 1 initiative. For information on eligibility, go to the Fees section on this page.

Funded places are offered on a first-come first-served basis, but these are limited and are strictly subject to Springboard+/HCI eligibility. Once the funded places have been filled, the course may remain open for those who wish to apply for a self-financed place.

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

This new and modernised Postgraduate Diploma of Engineering programme provides an exciting opportunity for students to gain a solid foundation in targeted areas of Information and Communication Technology (ICT) necessary to create an in-depth knowledge applicable to the field of Edge Computing. 

Alternative programmes in this discipline include: Edge Computing - MEng | University of Limerick (ul.ie)

 

Smart devices and the popularity of cloud services have created a new computing paradigm known as Edge Computing to process information data at the edge of a network. Edge computing is computing that takes place at or near the physical location and involves capturing, storing, processing, and analysing data closer to the location where it is needed to improve response times and save bandwidth. Edge computing will generate billions of new Internet of Things (IoT) endpoints and real-time artificial intelligence (AI) for autonomous systems. It will also enable intelligent applications and devices to respond to data almost instantaneously, which is critical for the deployment of new age technologies such as self-driving cars, vision systems, healthcare transformation, sustainable energy management and smart manufacturing systems.

Programme Aims:

  • To equip students with knowledge of electronic technologies ranging from network and cloud infrastructure solutions to IoT systems and applications.
  • To enhance learning in communications and computer systems, networking architectures and cybersecurity, including artificial intelligence (AI) at the edge and its application in the field of edge computing.
  • To provide know-how of edge computing platforms, communication & security protocols, real-time data processing fundamentals including AI/Machine Learning (ML) design and implementation.
  • To enhance graduates existing educational base and employment prospects.

Semester 1

Semester 2

CE4051

Introduction to Data Engineering and Machine Learning

EE6008

Deep Learning at the Edge

EE6411

C++ Programming 

EE6004

Real-Time Embedded Systems

EE6005

Signal Processing for Communications

EE6006

Edge Computing and Internet of Things

EE6003

Converged Networks

EE6032

Communications & Security Protocols

ET4307

Applied Cloud Computing

EE4052

Introduction to Engineering Research Methods*  

*Students are encouraged to engage in research projects

Applicants for this Level 9 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. University of Limerick reserves the right to shortlist and interview applicants as deemed necessary.

*Appropriate qualifications for this programme would be engineering, computing, mathematics, science or technology discipline, or another discipline where significant maths and computing elements can be demonstrated.

 

What to Include with your Application

  • Qualification transcripts and certificates
  • 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

    For more information Click Here

EU - €7,000 

Non-EU - €18,086

Springboard/HCI Funding - Candidates who satisfy the eligibility criteria under Springboard+ can qualify for 90% or 100% funding subject to the availability of places. To clarify eligibility please go to https://springboardcourses.ie/eligibility

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.

The programme provides a programme of study dedicated to Edge Computing technology and is suitable to graduates with primary degrees in electronics, computing, science or ICT disciplines who wish to wish to further develop their professional, technical and analytical skills in this discipline. Typical careers include:

  • Edge computing design and applications engineering
  • Edge computer network designer and solutions architect
  • Software engineering and consultancy personnel
  • Machine-Learning engineers
  • Embedded software developers
  • Internet of Things (IoT) engineering
  • Design group leaders, junior project managers, software systems managers
  • Research and Development engineers