ELECTRONIC ENGINEERING is one of the most dynamic and creative disciplines around today. From medical diagnostics to mobile communications, from internet gaming to transport systems - we are surrounded by the wonders of engineering. The science of creating innovative, efficient and useful systems to serve society, and the advanced ICT sector.
*Availability of modules for all programs is subject to change. Individual modules may not be offered in a particular year.
This foundation programme is aimed at mature students who would like to return to university to study science or engineering. Successful completion of the one-year programme guarantees a place on an undergraduate degree programme either in Electronic Engineering, or in the Science faculty.
Programme details can be accessed here
BE Electronic Engineering MH304
Maynooth University honours degree programmes in Engineering are currently accredited by Engineers Ireland. This makes holders of the BE (hons) degree eligible for membership of the institute, while exempting holders from any further written examination on the path to qualifying as a Chartered Engineer. In addition honours graduates are also eligible for associate membership of the Institution of Electrical Engineers (AMIEE) in the UK and membership of the Institution of Electrical and Electronic Engineers (MIEEE) in the USA.
Option to take a 4 + 1 year graduating with a Masters in Electronic Engineering
Course details: https://www.maynoothuniversity.ie/electronic-engineering/our-courses/bachelor-engineering
BSc in Robotics & Intelligent Devices MH306
Robotics and Intelligent Devices focuses on the design, implementation, and use of intelligent physical things in the environment. These include robots, autonomous vehicles, smart sensors, and internet-of-things devices. In the modern world, many of these things are the basis for brand new services or service improvements in areas such as health and wellbeing, assistive living, safety, smart manufacturing, retail, and hospitality, among others.
In addition to strong software skills, students completing the degree in Robotics and Intelligent Devices will develop strong competencies in systems and knowledge of how systems fit together, through areas such as electronic hardware design, signal processing, and system control.
Blending Electronic Engineering and Computer Science, we focus on adding intelligence to every day systems and developing robots that can interact with humans and our environment. Through project work, students will explore robotics and intelligent devices and may focus their project work throughout the programme in a specific area of their interest or blend thematic areas.
There is a transfer pathway from 1st year MH306 Robotics & Intelligent Devices to 2nd year MH304 Engineering. Students must attain 50% in Mathematics and pass the year.
Course details: https://www.maynoothuniversity.ie/electronic-engineering/our-courses/bsc-robotics-and-intelligent-devices
BSc Science MH201
Engineering science offers students the possibility of combining the design, problem solving and technical skills of electronic engineering with that of another science subject.
In recent years there has been a convergence of electronics and the basic sciences to deliver new capabilities in industries as diverse as medicine, automotive sector, environmental protection, but also within the core scientific areas with new instruments and tools. Some examples of this are lab-on-a-chip for medical and DNA testing, CMOS imaging sensors, or specialist chemical sensors for gas detection.
When engineering science is taken in partnership with computer science, opportunities arise in the areas of embedded systems and the close integration of hardware and software systems, where software controls hardware systems – be it robotics, smart meters, or most portable consumer electronics.
Course details: https://www.maynoothuniversity.ie/electronic-engineering/our-courses/bachelor-science
A structured PhD programme in Electronic Engineering, the objective is to produce high-quality PhD graduates with the skills and advanced engineering knowledge to operate as independent researchers and take on leadership roles in research and development both in academia and in industry. Our structured approach to a PhD education provides students with an excellent foundation in a variety of technical areas that are targeted towards the research area of the student combined with training in research, communication and business skills. We also encourage engagement with the global research community, in academia and industry, through research visits, internships and attending conferences. We also offer a similar structured programme for students undertaking a Masters by research.
The primary research areas of the Department are
A full list of the research areas that are available with the Department. If you are looking for a specific topic area, the best solution is to contact the researcher closest to your interests area and start a discussion with them. All our researchers are open to discussing potential research topics
The Structured PhD consists of a research element a number of taught modules and a thesis on a significant body of original research
15 credits of approved generic skills /transferable modules (GS modules)
15 credits of approved subject specific/advanced specialist modules (DS modules)
The Structured Research Masters (M.Eng.Sc) similarly consists of a research element and a number of taught modules:A thesis on a significant body of research
5 credits of approved generic skills /transferable modules (GS modules)
5 credits of approved subject specific/advanced specialist modules (DS modules)
Modules can be completed at any time during the 3-4 year programme.
Some modules can span multiple semesters and years but students must register for the modules in the semester they wish to be assessed. Each module can only be taken once during the programme of study and credit cannot be achieved for the same material in two different modules.
Each student will be assessed annually, for satisfactory progress in both the taught and research elements of their degree. There is no requirement for any minimum number of credits to be achieved in any one year, however students who have not successfully achieved the minimum number of credits in both the GS modules and DS modules will not be allowed to submit their final thesis.
NOTE: Students registering for the Autumn semester must register for their Generic Skills modules prior at registration.
You must accumulate the required number of credits from both the Generic Skills modules and the Discipline Specific modules prior to completion of the degree. Some modules run in only one semester, others run in both. Modules that represent work from multiple semesters are registered in the semester that the final elements are achieved and the full body of work can be assessed.
Discipline (Engineering) Specific Modules
EE802: Research Communication
EE810: Laboratory Demonstration
EE811: Research Supervision
EE814: Robotics Competition
EE815: Digital Outreach
EE816: Optimization Theory - not available 2024/25
Flexible Modules
FM801: Conference Organisation
FM802: Work -Based Placement
FM803: Research Placement
FM805: Outreach & Communication
FM807: External Short Course
FM808: Seminar Series
FM809: Advanced Communication Skills (Publication)
Generic Skills Modules
CTL1: Professional Certificate in Postgraduate Teaching and Learning
GST1: Professional Development and Employability
GST2: Finding Information for your thesis
GST3: Academic Writing
GST4: Research Practice and Integrity - Not running 2020/2021* See note
GST8: Grant Management & Compliance
GST10: Innovation and Research Commercialisation
GST11: Professional skills - Thesis completion and Career development
GST13; Research Funding Application
GST15: Ethics & Academic Practice for Research Students - Not running 2020/2021 *See Note
HM811 Computational tools for research
The normal entry requirements for a PhD in Electronic Engineering is at least a 2:1 Bachelor in Electronic Engineering or a similar disciple applicants - weaker academic results or a different discipline will be considered where there are other beneficial factors, such as work experience.
We encourage all prospective students to contact the Department prior to making an application. Any lecturer within the Department will be happy to discuss the PhD process with you and route you to the most appropriate potential supervisor. Once you've identified a potential academic supervisor, that academic will be able to guide you through the application process and funding opportunities. Applications are accepted all year round but registration dates are in late September and late February. It is optimal to target these dates. All applications must go through the PAC system and information on this process is available through the graduate studies office.
Further Details from PhD Programme director:
Dr. Bryan Hennelly
Dept of Electronic Engineering
Maynooth University
P: +353-1-7086057 / 708 6976
E: [email protected]
Maynooth University is delighted to announce the launch of its brand-new Master of Science (MSc) program in Robotics and Embedded Artificial Intelligence (AI). This ground-breaking program is designed to equip graduates in computing, engineering, and related fields with specialized knowledge and skills in the design and control of robots and intelligent systems, paving the way for a career in industry or academia.
Further details: https://www.maynoothuniversity.ie/robotics/education/msc-robotics-and-embedded-ai
Full time programme structure: https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/courses/msc-robotics-and-embedded-ai
Part time programme: https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/courses/msc-robotics-and-embedded-ai-0
Overview of Module Descriptors
| Title | CAO/MU Apply code |
|---|---|
| BACHELOR OF ENGINEERING - 4 years | MH304 |
| BACHELOR OF SCIENCE | MH201 |
| BSC ROBOTICS AND INTELLIGENT DEVICES - 4 Years | MH306 |
| Title | CAO/MU Apply code |
|---|---|
| M.ENGINEERING SCIENCE (RESEARCH) - 2 years Full-time, 3 years Part-time | MHJ04 |
| MSc ROBOTICS AND EMBEDDED AI - 1 year full-time | MHJ20 |
| MSc ROBOTICS AND EMBEDDED AI - 3 years part-time | MHJ21 |
| PhD ELECTRONIC ENGINEERING - 4 years Full-time, 6 years Part-time | MHJ02 (FT), MHJ03 (PT) |