MEng in Electronic and Computer Engineering (MECE) DC883
Engineering the Intelligence of Tomorrow: From Silicon to Systems
We are entering an era where the boundaries between the digital and physical worlds are dissolving. Modern innovation is no longer just about building faster computers or more connected devices; it is about creating Integrated Intelligence. From the microscopic architecture of a semiconductor chip to the global reach of next-generation telecommunications, the systems we build today are the nervous system of the modern world.

The convergence of high-performance hardware, ultra-fast connectivity, and autonomous decision-making is driving the next industrial revolution. Whether it is Physical AI allowing robots to navigate the real world with human-like perception, or Semiconductor Engineering pushing beyond the limits of Moore’s Law into the More-than-Moore era, the demand for engineers who can master these complex, heterogeneous systems has never been higher.
Ireland stands as a global powerhouse in this sector, serving as a vital hub for semiconductor manufacturing, IoT research, and network innovation. To lead in this landscape, professionals must move beyond narrow specialisations and understand how hardware, light, data, and intelligence intertwine.
The MECE programme is designed for this innovative environment. Offering the highest level of European Masters awards, it provides a highly customisable path (with a choice of up to thirty modules) that allows students to either maintain a broad technical perspective or specialise through five industry-aligned Majors:
- Physical AI: Bridging the gap between machine learning and the physical world.
- Internet of Things (IoT) Devices: Mastering the ecosystem from the silicon up to the network.
- Data and Telecommunications Networks: Architecting the next generation of global network connectivity.
- Photonic Systems: Leading the convergence of light-based sensing and electronic systems.
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Semiconductor Engineering & Integrated Circuit (IC) Design: Designing the fabrication processes and high-performance analog/digital/mixed signal integrated circuits that underpin the global economy, data centers and artificial intelligence (AI).
These majors are described fully below where you can choose the path that puts you at the heart of innovation.
There are two intakes on to the programme per academic year; Autumn (September) and Spring (January), and flexible study options are provided for part-time students. An alternative entry path is provided for part-time students who do not meet the Master’s programme entry requirements. Graduate Diploma and Graduate Certificate exit awards are also available.
Quick Info
Enquiry: Applicants can contact: ee.queries@dcu.ie
Course Type: Masters Degree (MEng) (NFQ Level 9). Autumn and Spring entry available.
Course Duration: Autumn Entry is 12 months full time (or 24 months part time). Spring Entry is 20 months full time.
Course Application Codes: MECE (DC883 For both Spring and Autumn admissions). See: International Admissions for additional information.
Make an Application Here! (Use DC883)
Fees: Postgraduate Student Fees Please note that merit scholarships are available here for this the MEng in Electronic and Computer Engineering programme.
Please also note that a programme fee is applied rather than an annual fee. Therefore, the cost is consistent for the Autumn (September) and Spring (January) entries, regardless of whether the programme is 12-months or 20-months in duration.
MECE (MEng) vs. MCTY (MSc)
MEng: Hardware-led, end-to-end engineering focus, progressing from low-level devices and circuits through embedded systems to state of the art communications and broader electronic and computer engineering. This page is focused on the MECE MEng Programme.
MSc: Software-led, computing-aligned focus, intended for students who want deeper software capability and expect to work primarily in programming, edge systems, and higher-level computing. Learn more about the MCTY Programme here.
Why do this course?

About the course
Programme Objectives
The main programme objectives are:

Majors Options
Our General masters 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 pre-defined Majors, students have the option of specialising in one of four different areas. Our Major options set out four “core” modules that must be completed to achieve the specialisation. While we recommend a complementary optional modules for each Major (see here), we offer flexibility so that these modules can be tailored to suit the needs of each individual student and their previous education. Students must also complete a substantial Major-specific capstone project to achieve the overall award.
*At least four Level-9 modules
Physical AI
Physical AI treats artificial intelligence not as a cloud-based "brain in a jar," but as a body that respects the laws of physics. At its core, this field relies on connected embedded systems to act as a high-speed nervous system, ensuring decentralised edge devices in robotics or the built environment can act without the lag of a central hub. Using real-time DSP for lightning-fast reflexes and computer vision to navigate and map 3D space, machines transition from mere automation to true perception. By weaving in machine learning and "Vision-Language-Action" models, these systems make intuitive, split-second decisions that are safe and context-aware. Furthermore, Physical AI systems are often coupled with digital twins, which are sophisticated, dynamic virtual replicas of their real-world counterparts. These digital models allow for comprehensive simulation, testing, and optimisation of the physical AI's behaviour and environment before, during, and after deployment, offering invaluable insights and enhancing the system's overall safety and efficiency.
Internet of Things (IoT) Devices
This innovative Major addresses the significance of designing and networking Internet-connected embedded systems, which form the core of Cyber-Physical Systems (CPS). Uniquely, it includes a focus on Analogue IC Design, providing students with the specialised skills to create the next generation of edge IoT devices at the integrated circuit level. Graduates gain comprehensive competencies in real-time signal processing, machine learning, and network programming. Positioned at the forefront of electronic engineering, this Major offers a unique opportunity to master the IoT ecosystem from the silicon up to the network layer, meeting the demand for professionals who can manage complex connected systems.
Data and Telecommunications Networks
This Major provides graduates with an in-depth understanding of the key technologies and drivers for next-generation data and telecommunications systems. Graduates are equipped with the expertise to implement advanced networking protocols on devices and user equipment, including wireless, mesh, peer-to-peer, and sensor networks. By gaining expertise in overall network design and simulation, students develop a critical cross-layer understanding of network operation. There is a strong industry demand for engineers with this skill base, capable of managing the performance and architectural drivers of modern communication systems.
Photonic Systems
The Photonic Systems Major is designed to develop leaders in the rapidly expanding sectors of optoelectronics. As computing moves toward the convergence of multiple technologies, experts who can integrate optical and electronic functions are critical. This Major focuses on integrated systems where layers are engineered to process light, manage power, and perform sensing. Students bridge the gap between theoretical device physics and industrial reality, gaining expertise in semiconductor manufacturing and photonic applications. This prepares graduates for innovation in fields ranging from global communications and optical sensing to biophotonics, autonomous vehicles, and next-generation quantum technologies.
Semiconductor Engineering & Integrated Circuit (IC) Design
The Semiconductor and Integrated Circuit (IC) Design Major provides an advanced and comprehensive foundation in the architecture, design, and fabrication of modern integrated circuits and systems. As a cornerstone of the global digital economy and a key enabler of emerging technologies such as artificial intelligence and quantum computation, the semiconductor sector demands highly skilled graduates capable of operating across the full development lifecycle. This Major equips students from diverse STEM backgrounds with the expertise to progress from semiconductor device physics and fabrication through to advanced system-on-chip (SoC) design, modelling, and verification. Emphasis is placed on the integration of theoretical knowledge with practical design skills, developed through extensive use of industry-standard Electronic Design Automation (EDA) and Technology CAD (TCAD) tools, alongside state-of-the-art process design kits (PDKs). Students benefit from exposure to current industry practices through company engagement and applied project work, fostering both technical depth and professional awareness. The programme also supports the development of analytical, problem-solving, and research skills essential for innovation in a rapidly evolving field. Graduates are well prepared for careers in semiconductor design, fabrication, and electronic systems development, as well as for progression to doctoral research and leadership roles within the global microelectronics industry.
The Masters Thesis
A definitive 30 ECTS research project. Students apply advanced engineering research to solve complex problems within their chosen major specialisation.
Entry Requirements | Fees
- 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 competency in the English language. More information about DCU’s English language requirements can be found here.
- Fees information for this programme may be found here.