| Entry Requirements |
Minimum Entry Requirements
Honours/Level 8 degree in Electronic Engineering, Electrical & Electronic Engineering, Computer Engineering, Mechatronic Engineering, and Computer Science, or cognate disciplines. All other applicants with degrees in the specified disciplines or cognate areas, will be assessed on a case-by-case basis, and on the basis of relevant work experience.
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| Course Content |
Expand+The Internet of Things (IoT) is about the new connected world, that is fast expanding, based on synergistic integration of Computer Science, Sensor Technology, and Engineering Science and Technology. It concerns the new generation of systems of netwo...
Hide-The Internet of Things (IoT) is about the new connected world, that is fast expanding, based on synergistic integration of Computer Science, Sensor Technology, and Engineering Science and Technology. It concerns the new generation of systems of networked devices that are becoming capable of sensing, transmitting and acting on data, e.g,: wearables, autonomous vehicles, drones, robots, smart homes, smart cities, smart industries, etc (see exemplars in Figure 1 ). The associated IoT coverage ranges from simple sensors at one end to complex services in the "cloud", and encompasses, among others; electronic engineering, software development/engineering, networking technologies, product design, encryption etc.
A major obstacle to more extensive and sustainable deployment of IoT Technologies is the impending major worldwide shortage of workers with appropriate knowledge and skills. Therefore, in order to ensure that Ireland can compete, and specifically to enable the SME sector to take full advantage of the opportunities presented by R&D in IoT technologies, there is an urgent need to bridge the predicted skills gap. The proposed programme presents real opportunity to its graduates to enter a developing technology support and research roles in industry, and to benefit from rapid career advancement.
The aim of this Dual-Pathway MEng in IoT Technologies programme is to contribute to meeting the skills needs for sustainable IoT deployment and expansion. Specifically, the programmes will produce graduates with: Comprehensive qualifications in research and project management skills that can be directly applied in to high-end research, development and innovation to support engineering practice in the predicted future growth in IoT; Knowledge and competences for design, commissioning and maintenance of IoT systems and processes.
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| Subjects Taught |
Expand+Course Structure (Course Delivery):
The proposed programme structure consists of taught modules and research projects in two possible pathways (Pathway 1 and Pathway 2), with common Semester 1 consisting of four Core modules, including a Research ...
Hide-Course Structure (Course Delivery):
The proposed programme structure consists of taught modules and research projects in two possible pathways (Pathway 1 and Pathway 2), with common Semester 1 consisting of four Core modules, including a Research Methods (Part 1: module which is Part 1 of the Final MEng Research Project:
•Semester 2 of Pathway 1, consists of three Core Modules and Electives, while Semester 3 is dedicated to the 30 ECTS Research Project Implementation Phase.
•Semester 2 of Pathway 2 consists of a Core Module in Statistics and the 60 ECTS Research Project Implementation Phase in consolidated Semester 2&3
Semester 1 ( Pathway 1 and Pathway 2 )
Core Modules [Total 30 ECTS]
• Embedded Systems [10 ECTS]
• Information Transmission & Management [10 ECTS]
• Software Engineering [5 ECTS]
• Research Project (Part 1: Research Methods) [5 ECTS]
Pathway 1
Semester 2
Core Modules [Total 15 ECTS]
• Statistical Analysis for Engineers [5 ECTS]
• IoT Systems [5 ECTS]
• Secure Communication & Cryptography [5 ECTS]
Electives [Total 20 ECTS Required]
• Technology & Innovation Management [5 ECTS]
•Geodata Provisions [5ECTS]
•Advanced Signal Processing [5 ECTS]
• Network Security [10 ECTS]
• Programming for Big Data [10 ECTS]
Semester 3
Research Project (Part 2: Implementation)[25 ECTS]
Pathway 2
Semester 2 & 3
Core Modules
• Statistical Analysis for Engineers [5 ECTS]
• Research Project (Part 2: Implementation) [55 ECTS]
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