Edge Computing - MEng

During this programme, you will:  

• Gain an in-depth knowledge of a wide range of topics relevant to edge computing. 

• Acquire a thorough grounding in data analysis and machine learning, preparing you for advanced Artificial Intelligence modules. 

• Explore advanced features of software programme design and analysis, group programming and large project implementation. 

• Develop insights into deep learning and associated frameworks relevant to edge computing that will enable you to implement your own deep learning systems. 

Key information: 

• Complete full-time in one year 

• Delivered on campus 

• Modules taught during autumn and spring semester 

• Option to exit with a Postgraduate Diploma 

• Continue to summer semesters and submit an MEng Project (thesis) 

You will learn through a blend of: 

• Lectures, workshops, and experiential learning 

• Reflective practice and supervised research 

• Regular feedback from faculty and peers through group work and assessments 

Year 1 

Autumn Semester 

• Introduction to Data Engineering and Machine Learning (CE4051) provides an insight and grounding into data engineering and machine learning and prepares students for more advanced Artificial Intelligence modules. 

• Advanced Programming (EE6161) covers advanced features of software programme design and analysis, group programming and large project implementation. 

• Signal Processing for Communications (EE6005) provides practical coverage for the principles of digital signal processing and techniques of modern digital communication systems. 

• Converged Networks (EE6003) imparts the knowledge, understanding and skills needed to install, configure and maintain local or wide area networks for IT and operational technology requirements. 

• Applied Cloud Computing (ET4307) provides experience in the practice of Cloud Computing including aspects of cloud architecting and design, developing in the cloud and/or operations in the cloud. 

Spring Semester 

• Deep learning at the Edge (EE6008) provides an insight into deep learning and associated frameworks relevant to edge computing and enables students to implement their own deep learning systems. 

• Future Networks (EE6532) focuses on Software Defined Networking (SDN) and Network Function Virtualization (NFV) which are key emerging technologies reshaping the networking landscape and research. 

• Real-Time Embedded Systems (EE6004) studies real-time (software) system design concepts and the presentation of methodologies at application level and system level. 

• Communications & Security Protocol (EE6032) covers security services and cryptographic protocols used for information and system security, in areas such as wireless networks, e-commerce and the Internet. 

• MEng Project *1: Planning and Research Methods (EE6010) describes the latest trends and developments in research practice and methods to help undertake a significant design project 

Summer Semester 

• MEng Project 2 -  Project Design & implementation (EE6073)is the undertaking of a significant master's project, which involves design and implementation in a selected topic. 

Relevant course materials - such as books and journal articles - will be available digitally via the UL Glucksman Library’s online resources. 

For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules 

• Applicants should hold a bachelor’s degree (NFQ Level 8) with at least a second-class honours, grade 2 (2:2) in engineering, computing, mathematics, science or technology discipline, or another discipline where significant maths and computing elements can be demonstrated. 

• The university may shortlist and invite you to an interview.  

Other Entry Considerations: 

We encourage you to apply even if you don’t meet the standard entry requirements, as long as you can show that you have the knowledge, skills, and experience needed for the programme. 

At UL, we value all kinds of learning and support different ways to qualify through our Recognition of Prior Learning (RPL) policy. 

International students:  

• For details on country-specific qualifications visit postgraduate entry requirements for international students. 

Checklist of Documents: 

• *Academic transcripts and certificates
  • UL graduates only need to provide their student ID.
• Copy of your birth certificate or passport
• English translation of your qualifications and transcripts 

English Language: 

• English Language Competency certificate
• For details on accepted language qualifications visit English Language Requirements 

Guidelines on Completing your Application  

• To make sure we can review your application quickly, please:
  • Upload all documents. Your application can’t be reviewed until we have all the documents on the checklist.
  • Title the documents you are uploading. For example, "Personal Statement", "Undergraduate Transcript", "Postgraduate Transcript", "English Language Certificate" etc.
• *If you are waiting to graduate, submit your application with the documents you have to date, you don’t need to have finished final exams before applying. 

EU - €8,200

Non-EU - €20,400

Annual fees are billed by semester. Once registered, students may be eligible to apply for a monthly payment plan.  

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).  

 
Funding 

Find further information on funding and scholarships.

This course can lead to the following sectors and careers:  

• 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
• Doctorate postgraduate studies 

Still Curious? 

The team regularly host and take part in webinars to support future students. If you would like to learn more or ask questions at an online information session, click below.    

Online Information Sessions 

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Dr Brendan Mullane, Course Director of MEng in Edge Computing 

“With access to the state-of-the-art labs and industry-relevant tools, students gain valuable experience working with hardware and software commonly used in the industry. The programme also encourages students to take advantage of the university’s strong industry connections, opening doors to internships during the summer or after completing coursework.”