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
MEng Electronic Engineering (Embedded and Wireless Systems) MHJ50 - DEFERRED until September 2023
Graduates of this course are well qualified to work in wireless communications and embedded systems space. Both of these areas are seeing business growth and, despite the demand, both areas are experiencing a shortage of suitably skilled engineers. Therefore this programme will significantly enhance your job prospects in these fields.
The region around Maynooth and the Greater Dublin Region is host to one of the greatest concentrations of ICT companies – ranging from large multinational companies such as Intel, IBM and Google to a very active and strong ecosystem of specialist and start-up companies. Maynooth University is at the heart of this industry and this programme will provide opportunities for students to engage with the community.
As a result of the advanced techniques introduced and the substantial project, this programme also provides a suitable foundation for students who may be considering undertaking further research in the areas of the Internet of Everything, connected and autonomous systems, and future wireless networks.
International students from outside the European Economic Area may also avail of the Third Level Graduate Scheme which allows graduates to remain in Ireland for up to 12 months after graduation to seek employment and if successful to apply for a Work Permit or Green Card Permit. For more details, see http://www.icosirl.ie/eng/student_information/third_level_graduate_scheme
The advent of an always-connected society where people and machines concurrently interact with multiple devices calls for a workforce with appropriate and high-calibre skillsets in the areas of embedded and wireless systems.The new generation of services and applications require autonomous coordination among massive number of sensors, computing elements, objects, devices and people. This will fundamentally change our approach to wireless systems and networks. This creates a different ecosystem and market than the current wireless systems and networks. To address this, there is a need for well qualified graduates who can design solutions based on solid understanding of the wireless environment and electronic hardware.
As we continue to embed intelligence in everything from home appliances to cars and wearable sensors to robotic systems, there is growing need for engineers who understand the unique problems of real time application deadlines, resource constrained computing environments, and embedded intelligence. The MEng Electronic Engineering (Embedded & Wireless Systems) has been designed to provide two specialized module sets that introduce advanced techniques and topical content: one focusing on wireless communications and the other on embedded systems. These are supported by core modules which provide techniques that are widely applied and reusable across a range of engineering applications. The programme has been designed to have a large project element to allow students to apply the acquired knowledge during the program and demonstrate their expertise in their chosen specialism.
MHJ50 - 90 Credit MEng programme comprising a substantial 30 Credit project and 60 Credits of taught modules.
One Year Full time programme which is completed over one academic year. The taught modules are completed in semesters 1 and 2 (from September to May) and the project is completed over the summer (May to August).
Students take 4 core modules and then make up the remaining taught module Credits by choosing from specialist/elective modules.
- EE699 Project—an opportunity to conduct a research/design project with professional administration, communication, and management, based on an original idea or in collaboration with a research group or industrial partner.
- EE608 Data Modelling and Analysis introduces a range of modelling and analysis techniques for extracting information from data.
- EE616 Optimization Theory focuses on constrained and unconstrained optimization.
- EE612 Advanced Control Systems applies classical, digital, and optimal control to dynamical systems.
- EE635 Knowledge Management & Intellectual Property investigates the enabling technologies and professional techniques to be applied when managing intellectual capital in an organisation.
Specialist/elective modules focusing on wireless communications
- EE625 Wireless Communication Systems introduces the principal concepts of wireless communications and their current application to mobile communications and healthcare devices.
- EE615 Microwave Systems develops the skills to design high performance radio systems with a focus on receivers, transmitters and antennas, considering the individual technologies and system level issues involved
- EE613 Electromagnetic Emissions - Compatibility and Biological Effects provides techniques for analysing sources of EM interference, evaluating the effects on human health, and designing systems compliant with EM compatibility requirements.
Specialist/elective modules focusing on embedded systems
- EE611 Medical Instrumentation introduces the sensors, signal conditioning, signal processing, and output systems used in medical instrumentation components and systems.
- CS680 Computer Vision introduces the problems, techniques, and algorithms for computer and machine vision including image formation, image processing and filtering, and selected topics in image analysis.
- EE641 Advanced Real time Systems—learn to develop real time embedded applications using a real-time operating system focusing particularly on real-time design considerations, task synchronization techniques, and common multitasking issues.
Note 1: The Computer vision and Advanced real time embedded systems modules are only available to students who satisfy the programming prerequisites.
Note 2: The core and elective modules listed for the programme are indicative and *subject to change; individual modules may not be offered in a particular year.
- At least 2:2 grade in an Honours Degree (MEng Programme) in Electronic, Electrical, Computer, or Telecommunications Engineering. Other qualifications will be evaluated on an individual basis. Applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level.
- Some embedded systems modules have a prerequisite of programming in C, C++, or another relevant programming language.
- Minimum English language requirements: IELTS: 6.5 minimum overall score / TOEFL (Paper based test): 585 / TOEFL (Internet based test): 95 / PTE (Pearson): 62. Maynooth University’s TOEFL code is 8850.
How to apply
Online application only – MHJ50 www.pac.ie/maynoothuniversity
Certified copies of all official transcripts of results for all non- Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non- Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.
Applicants may be required to attend for interview or complete an assessment as part of the admissions process.
Applicants who do not hold a degree in Electronic, Electrical, Computer, or Telecommunications Engineering should include a complete syllabus describing the content of their primary degree
Dr Indrakshi Dey
Address: Department of Electronic Engineering, Maynooth University, Maynooth, Co. Kildare, Ireland.
Please note this programme will not run in September 2022
The programme is run by 3U which is a partnership between DCU, Maynooth University and RCSI.
This new programme will produce engineers capable of designing and developing electronic devices and systems for the medical and healthcare communities. These individuals will become flexible technologists who can work within the health services, hospitals and indigenous and international companies, providing products and services to frontline medical and healthcare providers.
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
- Analysis of Dynamical Systems
- Machine learning and Data Based Modelling
- Wireless systems (telecommunications)
- Renewable energy (focus on wave energy systems)
- Neural Systems & Rehabilitation Engineering
- Control systems
- Sound signal processing
- Biomedical engineering
- Microelectronic circuits
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
EE816: Optimization Theory
FM801: Conference Organisation
FM802: Work -Based Placement
FM803: Research Placement
FM804: Engaging with the Community: Research, Practice and Reflection
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
GST5: Creative Thinking & Problem Solving
GST6: Social Entrepreneurship; Making a real difference
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
*Please note that the Graduate Skills modules GST4 Research Practice & Integrity and GST15 Ethics & Academic Practice for Research Students will not be running in the academic year 2020/21. However, the Epigeum Research Integrity online course is available to all MU research staff and research students. For further information on this course, please contact email@example.com.***
Entry Requirements and Application Information
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
P: +353-1-7086057 / 708 6976