Course Details
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Brief Description
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:
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. 51±¾É« 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
- 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  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.)
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