Taught course

High Performance Computing

Trinity College Dublin - the University of Dublin · Faculty of Engineering, Mathematics and Science

Entry requirements

In accordance with the overall standards for postgraduate admission at TCD applicants should have an honours degree at II.1 grade or better, or an equivalent qualification from universities with different systems of grading awards, or a relevant track record to compensate for somewhat deficient purely academic qualifications. We need students to have a background in a numerate area, such as mathematics, science, finance, engineering or computing as otherwise all the coursework would be unrealistically demanding.

Months of entry


Course content

Provided by the School of Mathematics, this is a one year (full time) taught M.Sc. in High Performance Computing. The degree provides practical training in the emerging high performance computing technology sector.

The aim of the course is to train students in practical applications of high-performance technical computing in industry, finance and research. Course content includes computer architecture, software optimisation, parallel programming, classical simulation and stochastic modelling. Application areas include simulation of physical, chemical and biological systems, financial risk management, telecommunications performance modelling, optimisation and data mining. The course has a number of optional elements, allowing specialization in application areas.

The course includes a strong practical element. Students have unlimited access to a dedicated teaching computing laboratory, and access to the facilities of the Trinity College Centre for High- Performance Computing, which include large-scale parallel computers. Career opportunities include mathematical modeling, simulation and forecasting, database mining and resource management. The techniques covered during the year will allow students to work in advanced software development including parallel and concurrent software applications. High-performance technical computing methods are becoming increasingly widespread in research into mathematics, physics, chemistry and biotechnology, engineering and finance, providing a wide range of options for the student wishing to go on to further research.

Fees and funding

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Qualification and course duration


full time
12 months

Course contact details

Dr Michael Peardon
+353-1-896 1485