PhD Monitor
/Detail
Computer Science● OpenMastersPreview

Edge Computing Master's Programme

Master the specialized skills of edge computing for modern technological innovation at the University of Limerick.

Best for:Best for science and engineering graduates with a computing background aiming to specialize in edge computing architectures.

University of Limerick · Ireland · R1 · First-stage researcher
More professors at University of Limerick
Edge ComputingSmart CitiesAutonomous VehiclesIntelligent ManufacturingInternet of Things
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
1 year full-time
Start date
fall
Full-time
Location
Ireland
on-site

Overview

The University of Limerick offers this Master's programme in Edge Computing to equip graduates from science and engineering disciplines with advanced computing competencies. Students gain technical expertise required for cutting-edge developments in smart cities, autonomous systems, remote monitoring, and intelligent manufacturing. The curriculum bridges core theoretical knowledge with practical applications across communication networks and green technologies. Applicants are expected to engage rigorously with advanced coursework and demonstrate strong foundational capabilities in computing and mathematics.

Edge ComputingMaster's DegreeUniversity of LimerickComputingEngineeringSmart CitiesGreen Technology

What you'll do

  • Complete advanced coursework and academic assignments focused on edge computing paradigms
  • Design and develop distributed solutions for smart cities, autonomous vehicles, and remote monitoring systems
  • Collaborate on technical projects addressing challenges in intelligent manufacturing and green technology
  • Participate in laboratory sessions, lectures, and seminars to build practical engineering competencies

Requirements

Degree required: Bachelor's degree (NFQ Level 8) with at least second-class honours grade 2 (2:2) in engineering, computing, mathematics, science, or technology

Degree offered: Master's (Level 9 NFQ)

Language: English

Instruction: English

Required skills
  • Proficiency in computing competencies relevant to engineering or science disciplines
  • Demonstrated academic background in mathematics, computing, science, or technology
  • Problem-solving and analytical capabilities applied to technical systems
Nice to have
Prior academic or professional experience in distributed systems or networkingFamiliarity with smart city applications or intelligent manufacturing concepts
Eligibility
  • Applicants must hold an eligible Level 8 bachelor's degree or demonstrate equivalent knowledge via Recognition of Prior Learning (RPL)

Funding & terms

Type
Unknown
Amount
—
Duration
1 year full-time
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Interested candidates should review entry requirements and submit their application through the university graduate application portal. The admissions committee may invite shortlisted applicants for an interview.

Documents required
  • CV
  • Academic transcripts
  • Degree certificate
↗Check programme and admissions
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.