MSc in Electronic Information Engineering
MSc in Electronic Information Engineering with Strand in Computational Engineering (M.Sc./P.Grad.Dip./P.Grad.Cert.)
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We are in the next Industrial revolution and the challenge faced by graduates is to succeed in an age of automation. There is no aspect of modern life that is now not altered by information processing engines. Examples include teaching (online learning and assessment), automotive (driverless cars and electronic control systems), the economy (high-speed automated trading), entertainment and shopping (virtual assistants and recommendation engines), health (automated diagnostics and non-invasive body scanning), and the digital humanities.
The principles enabling the design of this new wave of products are embodied in the discipline of Information Engineering. This course aims to equip graduates with deep knowledge and understanding of the design tools for 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.
Hear from past students about the course here.
Course Director
Dr Shreejith Shanker: shreejith.shankers@tcd.ie
Course Administrator
Caroline Murphy: caroline.murphy@tcd.ie
Our sponsors
Several bursaries are available from industry sponsors. Information will be provided later in the academic year. We recommend that you also look at the E3 Scholarship schemes here which our students often avail of.
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Useful Links
- Electronic Information Engineering (P.Grad.Cert Framework) - Part-Time: Apply Here
- Electronic Information Engineering (P.Grad.Dip) - Full-Time: Apply Here
- Electronic Information Engineering (M.Sc.) - Full-Time: Apply Here
Testimonials
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Coming from a general engineering background with a focus on propulsion and transport engineering, I felt that computational methods and data science were missing from my skill set. The Computational Engineering strand within the Electronic and Information Engineering programme at Trinity provided exactly the expertise I was looking for.
My experience at Trinity was extremely positive and played a key role in shaping my career path. The programme gave me strong foundations in computational and data-driven approaches, which helped me transition naturally into my current role as a Data Scientist at Alstom, where I work on optimisation projects in research and development.
What I particularly appreciated was how closely connected the academic experience was to real-world applications and research opportunities. I also remain in contact with professors from Trinity and continue to collaborate on research papers, which reflects the strong professional relationships and supportive academic environment within the School.
Looking back, studying at Trinity was a very natural and rewarding step in my journey, and I am very happy with where it has led me professionally.Class of 2024/25 MSc in Computational Engineering
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With a background in Electronic Science and Technology, I was looking for a programme that could help me bridge the gap between theoretical knowledge and practical engineering skills, especially in programming and algorithm development. This programme has been exactly that.
I especially value how it combines theory with hands-on projects while encouraging creativity and independent problem-solving. Studying with classmates from different countries and disciplines has also broadened my perspective greatly. Most importantly, it has given me a clearer sense of my future direction and greater confidence in the path ahead.Class of 2022/23 MSc in Electronic Information Engineering, currently pursuing PhD