Choose the path that puts you at the heart of innovation!
This programme is at the highest European Masters degree level. It offers advanced-level courses in the theory, analysis, design, modelling and manufacture of electronic and computer systems.
The programme is highly flexible and allows participants to customise a taught Masters programme based on preferred focus areas. With a range of over twenty modules to choose from, this Masters programme is highly customisable by the individual student.
With our new pre-defined Majors, students have the option of specialising in one of four areas: Nanotechnology, Advanced Data Networks, Internet of Things (IoT), and Image Processing and Analysis.
There are two intakes on to the programme per academic year (February and September) and flexible study options are provided. An alternative entry path is provided for some students who do not meet the Master’s programme entry requirements. Graduate Diploma and Graduate Certificate exit awards are also available.
Major in Nanotechnology
The aim of this Major is to deliver leaders in nanoelectronics, high-level logic synthesis and photonics – strong interdisciplinary sectors with huge growth. This Major focuses on the skills and knowledge required to produce functional electronic and photonic devices and constituent structures of nanometre dimensions. It will also provide graduates with expertise in modern semiconductor manufacturing practices, methodologies and technologies.
Major in Advanced Data Networks
Graduates of this Major will be equipped with the skills and expertise required to implement tomorrow’s networking protocols on network devices and user equipment. Indicative topics covered are wireless networking, mesh networks, peer-to-peer networking, sensor networks, and future technologies in these areas.
Major in the Internet of Things
This innovative Major addresses the emergent significance of the design and networking of Internet-connected embedded devices and technologies. The Major will provide graduates with knowledge, skills and competencies in the areas of real-time signal processing, data analysis and machine learning, connected embedded systems and network programming. At the forefront of current and future electronic and computer engineering developments, this Major offers a unique opportunity in the area of IoT.
Major in Image Processing & Analysis
Image & video analysis is a core skill currently driving much of the recent AI advances by both leading mutli nationals and innovative startups. This major will address this ever popular skill set by modules that cover traditional signal processing, data analytics, feature extraction, machine learning and the highly sought after core expertise of deep learning for computer vision.
Deep learning has allowed the development of highly advanced computer vision solutions across a wide range of industries, driving both its advances and adoption and is set to be a dominant engineering technology. In addition to these advanced technical modules, students will also be exposed to the entrepreneurial skills necessary to go beyond the core engineering aspects of product development and commercialisation.
Over the past two decades Intel in Ireland has come to represent a diversity of activities across the spectrum of Intel business from advanced manufacturing to cutting edge design and world class research.
Intel are continuing their scholarship programme into 2019-20 for graduates (and prospective 2019 graduates) who plan to enter the DCU MEng in Electronic and Computer Engineering. The new sponsorship programme is the latest initiative in an ongoing strategic partnership between Intel and DCU.
Recipients of the award each receive a monetary grant to support their academic studies as well as ongoing support and mentorship that provides students with a direct relationship to the world of work.
For further details of the scholarship click here.
What will I study?
The MEng in Electronic and Computer Engineering programme is highly flexible and allows participants to customise a taught Masters programme based on preferred focus areas. With a range of over twenty modules to choose from, this Masters programme can be tailored to suit the needs of each individual student.
Our General Award structure gives students the flexibility to choose a combination of any eight taught Modules from our full offering. In this way, students can truly tailor their own Masters programme. Students must also complete a substantial capstone project to achieve the overall award.
With our new pre-defined Majors, students have the option of specialising in one of four areas: Nanotechnology, Advanced Data Networks, Internet of Things (IOT), and Image Processing and Analysis. Our Major options set out four “core” modules that must be completed to achieve the specialisation. While we recommend a further four complementary modules, we offer flexibility so that these modules can be tailored to suit the needs of each individual student. Students must also complete a substantial Major-related capstone project to achieve the overall award.
General Award – No Major
- Choose any eight taught Modules (60 credits)
- + Substantial Capstone Project (30 credits)
- A Primary Honours degree, Level 8 with an award of H2.2 or higher in Electronic/Electrical/Computer Engineering, Applied Physics , Computer Sciences or other Engineering disciplines.
- International candidates who are non-native speakers of English must satisfy the University of their competancy in the English language. More information about DCU’s English language requirements can be found here.