Trinity College Dublin - TCD
Trinity College Dublin - TCD
Course Code
Zone
Attendance

Course Summary

The aim of the course is to train students in practical applications of high-performance technical computing in industry, finance and research. During your year in Trinity, you will develop the expertise to make use of a large number of computer processing cores and use them to solve large numerical problems quickly, precisely and reliably. The course presents the practical mathematical skills needed to translate descriptions of complex systems into a form the computer can manipulate and solve efficiently.

College Link

Trinity College Dublin - TCD
College Link > - High Performance Computing

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

Career Sectors

This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.

Entry Requirements

Applicants should normally have a first or upper second-class (2.1) degree in a subject with a significant mathematical component and should have some knowledge of computing and numerical simulation methods.

Application Details

Closing Date: 31st July 2025

Next Intake: September 2025

Fees

<a href="https://www.tcd.ie/courses/postgraduate/fees/" target="_blank">Postgraduate Fees</a>

The Student

Career Interests

This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.

Administrative

Administrative people are interested in work that offers security and a sense of being part of a larger process. They may be at their most productive under supervisors who give clear guidelines and while performing routine tasks in a methodical and reliable way.

They tend to enjoy clerical and most forms of office work, where they perform essential administrative duties. They often form the backbone of large and small organisations alike. They may enjoy being in charge of office filing systems, and using computers and other office equipment to keep things running smoothly. They usually like routine work hours and prefer comfortable indoor workplaces.



Career Progression

Successful graduates of the course go on to careers in technical and scientific computing and modelling, either in industrial or academic positions. A substantial number of graduates begin research towards their Ph.D. directly after completing the course, studying topics as diverse as astrophysics, biomolecular modelling, fluid mechanics, and financial mathematics.

Duration

1 year full-time
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