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.