mece-slider

MEng in Electronic and Computer Engineering

MEng in Electronic and Computer Engineering

//MEng in Electronic and Computer Engineering
MEng in Electronic and Computer Engineering 2018-10-26T10:59:42+00:00

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.

Quick Info

PAC Codes: DC883/DC884/DC891/DC892

Course Type: Masters Degree

Course Duration: 1 Year

Course Delivery: Full-Time, Part-Time

Email this course to me

Find out more on dcu.ie

Why do this course?

DCU School of Electronic Engineering - MEng in Electronic and Computer Engineering
  • Established: With more than 20 modules available, there is great scope to tailor the programme to specific needs and interests in the largest and longest-running programme of its type in the country.

  • Flexible: Combine full-time/part-time, on-campus/remote, a choice of two starting times each year.

  • Modern: The course is continually kept up-to-date to reflect changing technological advances in industry and research.

  • Relevant: Acquire knowledge and skills that are in high demand in industry.

  • Rewarding: Work on a Masters project in some of the top research labs in the country.

About the course

Programme Objectives

The main programme objectives are:

  • 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 a range of selected specialised areas in Electronic and Computer Engineering together with a knowledge and understanding of specialised Electronic and Computer Engineering 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 Engineering 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 through optional Majors in Nanotechnology, Advanced Data Networks, the Internet of Things (IoT) and Image Processing and Analysis.

School of Electronic Engineering ECE Student

Major Options

DCU School of Electronic Engineering Major in Nanotechnology

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

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.

DCU School of Electronic Engineering Major in Image Processing & Analysis

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.

More

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.

Scholarship Opportunities

The School of Electronic Engineering is happy to announce two scholarship programmes that are linked to our MEng in Electronic and Computer Engineering taught masters programme:

UrbanVolt is accelerating the world’s transition to sustainable energy and we are disrupting an entire industry along the way. We are doing something no other company has ever achieved – investing the money to install energy saving technology in businesses for free. How? By focusing our innovation on the UrbanVolt Light as a Service® business model rather than the product.

We want to sponsor a DCU student who shares a similar passion and drive to bring a new way of thinking to solving global problems. Students who plan to enter the DCU MEng in Electronic and Computer Engineering are eligible for the award.

The successful candidate will receive fee support in order to register in DCU and undertake a one-year, full-time taught masters programme.

For further details of the scholarship click here.

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?

Programme Overview

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)

OR

Major in Advanced Data Networks
Major in the Internet of Things
Major in Image Processing & Analysis

To see the complete range of modules on offer please click here.

Indicative EU Programme/Module Fee: €70 per credit + €450 registration fee.
Indicative Non-EU Programme/Module Fee: €156.80 per credit + €1008 registration fee.