Electronic & Computer Technology

The Internet of Things [IoT] is a computing concept describing the inter-connectivity and collaboration of a wide variety of everyday physical objects connected via the internet. Rapid IoT development has been driven by ongoing research and technological advances (notably in 5G mobile communications and in Artificial Intelligence). IoT technologies are enabling a wide range of business opportunities in the context of “smart” homes, neighbourhoods and cities. They also enable the exploitation of intelligent infrastructure and services, in areas such as transport, power and healthcare.

IoT systems involve the convergence of multiple technologies, existing and new, including Sensors & Actuators, Low-energy Communication, Networking and Cloud, Big Data & Data Analytics, Machine Learning, Security and Application Deployment and Management.

There are two intakes onto the programme, in February and September, and flexible study options are provided. Due to the scheduling of project deadlines, full-time students who start in September can complete the programme within 12 months, while full-time students who start in February can complete the programme within 18 months.

NFQ Level 9 Graduate Diploma and Graduate Certificate exit awards are also available.

This programme satisfies the educational requirement for an Irish Graduate Programme visa for non-EEA students.

About this course
The programme offers advanced-level courses in the theory, analysis, design and modelling of electronic and computer technology in an up-to-date, industry-relevant modern programme, which aims for students:

-To obtain a systematic understanding of the theory, concepts and methods at the forefront of knowledge pertaining to selected topics chosen from a wide set within Electronic and Computer Engineering.
-To form a critical awareness of the present-day state-of-the-art and current developments and research at the forefront of IoT, together with a knowledge and understanding of specialised Electronic and Computer Technology practice, methods and techniques.
-To develop the ability to identify, formulate, analyse and solve engineering problems and to integrate knowledge, handle complexity and formulate judgements related to Electronic and Computer Technology problems.
-To develop the skills to design components, systems or processes to meet specific needs and the knowledge and understanding of analysis and design processes and techniques and the ability to apply them in unfamiliar situations.
-To allow a more intensive exposure to modern, industry-relevant technologies comprising the Internet of Things.

In order to achieve the MSc in Electronic and Computer Technology with a Major in IoT a student needs to complete 90 credits in total over the duration of the programme.

Taught Modules (Choose 9 from the following set with a minimum of five EE5xxx modules):

EE402 OOP with Embedded Systems (7.5 credits)
EE488 Mathematical Techniques & Problem Solving (7.5 credits)
EE452 Wireless and Mobile Communications (7.5 credits)
EE417 Web Application Development (7.5 credits)
EE445 Bioelectronics (7.5 credits)
EE514 Data Analysis & Machine Learning (7.5 credits)
EE515 Real-Time Digital Signal Processing (DSP) (7.5 credits)
EE513 Connected Embedded Systems (7.5 credits)
EE562 Network Stack Implementation (7.5 credits)
EE507 Entrepreneurship for Engineers (7.5 credits)
EE5001 Security for Wireless Networks (7.5 credits)
EE516I Blockchain Scalability (7.5 credits)
Project Modules (both are compulsory and run in the summer months):

EE5002 RD&I Training & Project Planning (7.5 credits)
EE5003 MSc Project (15 credits)

Requirements
• A Primary Honours degree, Level 8 with an award of H2.2 or higher in Electronic/Electrical/Computer Engineering, Applied Physics, Computer Science or other Engineering Disciplines
• International candidates who are non-native speakers of English must satisfy the University of their competency in the English language.

Application Deadlines
Applications will be accepted on a rolling basis until the programme is full or until the following dates:

For January 2024 intake:
Closing date for NON-EU applicants is 1st December 2023.
Closing date for EU applicants is 1st December 2023.
All required documents in support of your application must be provided by this deadline.

For September 2024 intake:
Closing date for NON-EU applicants is 1st July 2024.
Closing date for EU applicants is 31st July 2024.

All required documents in support of your application must be provided by this deadline.
Note: applicants who require a study visa for the purposes of studying at DCU, are advised to apply as early as possible.

1 year full-time
January & September intake

There are two intakes onto the programme, in February and September, and flexible study options are provided. Due to the scheduling of project deadlines, full-time students who start in September can complete the programme within 12 months, while full-time students who start in February can complete the programme within 18 months.

Next Intake: January/ September 2024.

Opportunities will arise in Irish and International high-tech industry roles, including:
Technology Evangelist
Research, Development and Innovation (RD&I) Officer
Management Information Systems Director
Computer and Information Research Scientist
IoT Systems Architect
Computer Systems Analyst
Application Developer
Systems Architects

Graduates from programmes in the School have been employed by small-to-medium (SME) companies and many multinationals including Google, Intel, Texas Instruments, IBM, Jaguar Land Rover (JLR) and Amazon. However, the skills learned are fundamental and can also be applied to many other disciplines. In addition, the Masters Project will also greatly improve the graduate's employment potential.