Engineering - Electrical & Electronic Engineering

Course Outline

Electrical and Electronic Engineering drives many of the technological advances that we see in our fast-changing world, from smart grids and robotics to smartphones and the internet of things. It is an exciting and challenging career choice, characterised by constant personal development, innovation, and invention.



The College of Science, Engineering and Food Science (SEFS) at UCC aims to build on the engineering foundations of your undergraduate degree with this postgraduate Electrical and Electronic Engineering (MEngSc) programme. The MEngSc programme will help you to develop advanced engineering skills and introduce you to key innovations in this field. As part of this degree, you will carry out a substantial research project. There is also the opportunity to apply for a paid summer industrial placement.



Part I of the programme comprises 50 credits of taught courses and a preliminary research report worth 10 credits. These are assessed using a combination of written examinations and continuous assessment. Successful completion of the initial tranche of coursework modules qualifies the student to progress to Part II.



Part II requires a research dissertation in Electrical and Electronic Engineering (30 credits).

Modules

All modules 5 credits unless otherwise noted.



EE6019 Research Report (10 credits)



Group A (at least 35 credits)



CS6327 Internet of Things: Technology and Application

EE6024 Engineering Machine Learning Solutions

EE6034 Optoelectronic Communications and Optoelectronics,

EE6035 Electrical Power Systems

EE6036 Design of RF Integrated Circuits

EE6038 Advanced VLSI Design

EE6040 Mobile and Cellular Communications

EE6041 Advanced Digital Signal Processing

EE6042 Frequency Synthesizers for Wireless and Cellular Systems

EE6043 Design of Digital Integrated Circuits

EE6044 Advanced Analogue IC Design

EE6045 Data Converter Techniques: Circuits and Architectures

EE6047 Semiconductor IC Processing

EE6048 Smart Grids

EE6049 Design of Analogue Integrated Circuits

ME6009 Industrial Automation and Control



Group B (choose up to 15 credits)



CS6301 Design of Cyber-Physical Systems

CS6322 Optimisation

CS6325 Network Security

CS6506 Programming in Python

CS6507 Programming in Python with Data Science Applications

EE4001 Energy Systems, Power Electronics and Drives

EE4002 Control Engineering II

EE4004 Telecommunications II

EE4012 Biomedical Systems

EE4019 Photonic Signals and Systems Application

ME6008 Robotics

ME6012 Advanced Robotics

NE4008 Photovoltaic Systems

ST6030 Foundations of Statistical Data Analytics

Research project module



EE6023 Dissertation in Electrical and Electronic Engineering (30 credits)

Candidates must have a BE (Hons) Degree in Electrical and/or Electronic Engineering, or equivalent engineering qualification, with a minimum Second Class Honours Grade I (NFQ Level 8)



Candidates from Grandes Écoles Colleges are also eligible to apply if they are studying a cognate discipline in an ENSEA or EFREI Graduate School and are eligible to enter the final year (M2) of their programme.



Candidates must be approved by the MEngSc (Electrical and Electronic Engineering) course team and/or the Director of the MEngSc (Electrical and Electronic Engineering) Programme.



English Language Requirements

Applicants that are non-native speakers of the English language must meet the university-approved English language requirements. Please visit our PG English Language Requirements page for more information.

Closing Date

Rolling deadline. Open until all places have been filled. Early application is advised.

1 year full-time.

Start Date 9 September 2024

Skills and Careers Information

Our MEngSc graduates hold leadership positions in some of the top employers both in Ireland and internationally. Our graduates will have a competitive advantage in the jobs market by virtue of the cutting edge expertise obtained through their research project and the advanced and specialised coursework in Electrical and Electronic Engineering – particularly in areas which are now in high demand, such as machine learning, smart grids, embedded systems, and the internet of things.