Computational Engineering (M.Sc./P.Grad.Dip./P.Grad.Cert)

Course Overview

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 unaltered by information processing engines. Examples include teaching (online learning and assessment), automotive (driverless cars and electronic control systems), the economy (high-speed automated trading), shopping and entertainment (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 one year full-time (or between two and three year part-time) course provides graduate engineers with the skills to design modern computational products and systems. Graduates specialise in fundamental theory and applications relating to the generation, distribution, analysis, and information use in engineering / science.

This programme is a strand of the M.Sc. in Electronic Information Engineering programme. Computational Engineering has evolved to encompass all aspects of simulation and design in the Engineering disciplines. All physical simulation tools rely on algorithms developed from a knowledge of computational techniques from graphics engines to financial prediction to fluid mechanics to electric power distribution. In this course students are equipped with the knowledge to apply computational techniques in various domains.

Admission is typically restricted to graduates who have achieved an upper second-class Honours degree (2.1), or higher, in Engineering, Science, Computing, Statistics, Mathematics or a related discipline. Well-qualified candidates or industry professionals from other 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. For more details of qualifications that meet Band B, see the English Language Requirements page here.

While some of our students choose to undertake PhD research, most of our graduates enter the job market after qualifying. They have gained employment in 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.