Program Overview

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

The M.Sc. in Electronic and Information Engineering course is designed to provide graduate engineers with skills to design modern computational products and systems. Graduates specialise in fundamental theory and applications relating to the generation, distribution, analysis and use of information in engineering and science.

Overview

This 1-year full-time or 2 to 3-year part-time postgraduate course is designed for individuals who have a strong academic background in electronic and electrical engineering, computer engineering, or related fields, and who wish to specialise and advance their knowledge in electronic and information engineering.

Is This Course For Me?

The course is designed for individuals who are interested in pursuing a career in areas such as telecommunications, wireless communications, data communications, computer networks, software engineering, and signal processing. It is also suitable for individuals who are already working in the industry and wish to enhance their skills and knowledge to progress in their career or change their career path.

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.

Course Structure

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

Course Content

All students aiming for an M.Sc. award are required to take the following core modules:

• Research Project/Dissertation: Research Methods
• Computational Methods
• Introduction to Deep Learning

In addition, candidates select elective modules from the following list of options:

• Digital Signal Processing
• Statistical Signal Processing
• Speech and Audio Processing
• Spatial Audio
• Self Organising Systems
• Next Generation Networks
• Optimisation and Control
• Motion Picture Engineering
• Image and Video Processing
• Algorithms for Quantum Computing
• Cyber-Physical Systems and Control
• Simulation for Geophysical Modelling
• Computation for Transportation Engineering
• Microelectronics
• Integrated Systems Design

Students may opt for the strand in Computational Engineering. In this strand, students must select additional elective modules from the following:

• Algorithms for Quantum Computing
• Cyber-Physical Systems and Control
• Simulation for Geophysical Modelling
• Computation for Transportation Engineering

Awards

• NFQ Level 9

Number of Places

• P.Grad.Cert. – 7
• P.Grad.Dip. – 17
• M.Sc. (full-time or part-time) – 25 Places

Next Intake

• September 2025

Course Director

• Professor Anil Kokaram

Closing Date

• 31st July 2025

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.

English Language Requirements

All applicants to Trinity are required to provide official evidence of proficiency in the English language. Applicants to this course are required to meet Band B (Standard Entry) English language requirements.

Course Fees

For a full list of postgraduate fees, please refer to the relevant section.

Related Courses

• Biomedical Engineering (M.Sc. / P.Grad.Dip.)
• Computational Engineering (M.Sc./P.Grad.Dip./P.Grad.Cert)
• High Performance Computing (M.Sc. / P.Grad.Dip.)
• Quantum Fields, Strings and Gravity (M.Sc. / P.Grad.Dip.)
• Music and Media Technologies (M.Phil.)
• Project Management (P.Grad.Dip.)