Engineering - Electronic Information Engineering

Trinity College Dublin

Engineering - Electronic Information Engineering

Course Information:
This is a one year full time or two to three year part-time postgraduate course designed to provide graduate engineers with skills to design modern computational products and systems. Information processing engines pervade all aspect of modern life. Examples include digital assistants (speech recognition and synthesis), automotive systems (remote sensing and cyber physical control), the economy (quantitative automated trading), entertainment (audio-video streaming and cinema visual effects), health (medical imaging) and computational science and engineering. The principles enabling the design of this new wave of products are embodied in the discipline of Information Engineering. This course allows graduates to specialise in fundamental theory and applications relating to the generation, distribution, analysis and use of information in engineering and science.

Course Organisation
This M.Sc. course can be taken as either a full-time one year or part-time two to three year postgraduate course and consists of taught modules worth 60 credits and a project worth 30 credits. A specialism in Computational Engineering is available for students selecting at least 15 ECTS from the Computational Engineering strand. MSc candidates complete a substantial project and submit a report which accounts for 30 credits.

In addition to direct entry to the MSc, parallel Postgraduate Certificate, (30 ECTS), and Postgraduate Diploma (60 ECTS) entry routes are available for direct separate application. For students who successfully complete the postgraduate certificate and postgraduate diploma, there is an option to rescind these awards and apply to complete an MSc. Part-time students may follow the staged award path over 3 years of study with a possible gap of up to one year in between.

Subjects taught

All students (aiming for an MSc award) are required to take the following modules:

Research Project/Dissertation (30 ECTS)
Research Methods (5 ECTS)
Computational Methods (10 ECTS)
Introduction to Deep Learning (10 ECTS)

In addition, candidates select a further 35 credits from the following list of options to bring their total credits to 90:

Digital Signal Processing (5 ECTS)
Statistical Signal Processing (10 ECTS)
Speech and Audio Processing (5 ECTS)
Spatial Audio (5 ECTS)
Self Organising Systems (5 ECTS)
Next Generation Networks (5 ECTS)
Optimisation and Control (5 ECTS)
Motion Picture Engineering (10 ECTS)
Image and Video Processing (5 ECTS)
Algorithms for Quantum Computing (5 ECTS)
Cyberphysical systems and Control (10 ECTS)
Simulation for Geophysical Modeling (5 ECTS)
Computation for Transportation Engineering (5 ECTS)
Microelectronics (5 ECTS)
Integrated Systems Design (5 ECTS)

Students may opt for the strand in Computational Engineering. In this strand, students must select in addition, at least 15 ECTS (out of the 35 credits of optional modules) from the following:

Algorithms for Quantum Computing (5 ECTS)
Cyberphysical systems and Control (10 ECTS)
Simulation for Geophysical Modeling (5 ECTS)
Computation for Transportation Engineering (5 ECTS)

Entry requirements

Admission Requirements
Admission is normally restricted to graduates who have achieved an upper second class honours degree (2.1), or better, in engineering, science, computing, statistics, mathematics or a related discipline. Well-qualified candidates or industry professionals from other numerate disciplines who have sufficient knowledge of computational aspects of engineering and science, may also be considered.

Application dates

Closing Date 31st July 2022


1 year full-time, 2 – 3 years part-time

More details
  • Qualification letters

    M.Sc. / P.Grad.Dip

  • Qualifications

    Postgraduate Diploma (Level 9 NFQ),Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime

  • Apply to

    Course provider