Course Description

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



Electronic Information Engineering (M.Sc./P.Grad.Dip.) is a course run by Trinity College Dublin, Dublin. Electronic Information Engineering (M.Sc./P.Grad.Dip.) gives a Course Qualification of Masters Degree, awarded by Trinity College Dublin. For more information about Electronic Information Engineering (M.Sc./P.Grad.Dip.) at Trinity College Dublin, please review the details below.

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.

All students (aiming for an MSc award) are required to take the following core modules:
Research Methods, Computational Methods and Introduction to Deep Learning. Completion of additional modules and a dissertation are also required.

Closing Date: 31st July 2022

The Electronic Information Engineering (M.Sc./P.Grad.Dip.) course at Trinity College Dublin is listed in Courses.ie's national courses finder.
Training ProviderTrinity College Dublin
Course LocationDublin
Location PostcodeDublin 2
Course QualificationMasters Degree
Awarding BodyTrinity College Dublin
Awarding Body DetailsM.Sc./P.Grad.Dip.
Course Duration1 year full-time
Entry RequirementsAdmission 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.
Phone+353-1-896 1580
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