High Performance Computing Trinity College Dublin

Overview

The High Performance Computing M.Sc. at Trinity College Dublin offers a comprehensive education in the rapidly evolving field of large-scale technical computing. This programme is designed to provide students with the practical mathematical skills and programming expertise required to solve complex numerical problems using high-performance systems.

Students gain hands-on experience in translating intricate system descriptions into efficient computational forms. The curriculum is delivered in collaboration with Research IT and the Schools of Physics and Chemistry, ensuring a multidisciplinary approach that links directly to contemporary computational science research.

Why High Performance Computing at Trinity College Dublin?

Trinity College Dublin provides an exceptional environment for studying computational science, benefiting from close ties to the IITAC interdisciplinary research project. Students enjoy unlimited access to a dedicated teaching laboratory and the advanced facilities of Research IT, which include large-scale parallel computers.

The programme is unique in its blend of software optimisation, computer architecture, and stochastic modelling. By working alongside experts from the School of Mathematics, students develop the ability to maximise the impact of modern multi-core processing resources for scientific and financial applications.

Tuition Fee Breakdown

• International fee: EUR 23710 per year
• European fee: EUR 8950 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum consists of 60 ECTS of taught coursework and a 30 ECTS research project. Modules may include:

• Computer Architecture
• Software Optimisation
• Parallel Programming
• Classical Simulation
• Stochastic Modelling
• Financial Risk Management
• Telecommunications Performance Modelling
• Data Mining

Careers with High Performance Computing

Graduates are highly sought after for roles involving large-scale modelling, numerical software development, and simulation. The programme prepares individuals for successful careers in both industrial and academic sectors, with many moving into technical computing positions in finance, biotechnology, and engineering.

A significant number of alumni progress directly to doctoral research. Previous graduates have pursued PhDs in diverse fields such as astrophysics, fluid mechanics, biomolecular modelling, and financial mathematics, leveraging the advanced programming tools and algorithmic knowledge gained during the course.