Electronic Information Engineering (M.Sc. / P.Grad.Dip / P.Grad.Cert.)

1 year full time/2 or 3 years part time
P.Grad.Cert. – 7, P.Grad.Dip. – 17 , M.Sc. (PT/FT) – 25 Places


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. 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.

Course Content
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)

Career Opportunities
While some of our students choose to pursue PhD degrees from leading international universities, most of our graduates choose to enter the job market. They have gained employment in various industries, including digital assistive technology (speech recognition and synthesis), automotive systems (remote sensing and cyber physical control), economics (quantitative automated trading), entertainment (audio-video streaming and cinema visual effects), health (medical imaging) and computational science and engineering.

Click Here for further information on modules/subject.

Study Electronic Information Engineering (M.Sc.) at Trinity

Introduction to the MSc and P.Grad.Dip programmes in Electronic Information Engineering by Dr Anil Kokaram at Trinity College Dublin

Course Details

Number of Places

P.Grad.Cert. – 7, P.Grad.Dip. – 17 , M.Sc. (PT/FT) – 25 Places

Next Intake

September 2023

Course Coordinator

Biswajit Basu - Strand Co-ordinator for Computational Engineering

Course Director

Professor Anil Kokaram

Closing Date

31st July 2023

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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.

Course Fees

Click here for a full list of postgraduate fees

Get in Touch

Telephone Number

+353 1 896 1580







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Register your interest in postgraduate study at Trinity College Dublin, the University of Dublin.

As Ireland’s leading university, we offer a wide range of postgraduate programmes at masters, diploma and certificate level.

Trinity is an international university steeped in history, with a reputation for excellence in education, research and innovation.

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Emmanuel Akinrintoyo
Graduated 2022

Harshad Pritam Baruah
Graduated 2021

Siddhi Nishikant Gaikwad
Graduated 2020