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.
The M.Sc. programme consists of a mix of taught material presented in traditional lectures, laboratory work with programming assignments as well as a substantial project. Students must complete examinations in the traditional May/June period, as well as continuously assessed programming assignments. They must also complete a substantial project to design and implement software to solve a challenging problem using high-performance computers. A full load is 90 ECTS (60 coursework + 30 project).
Applicants will need to hold:
All applicants whose first language is not English and who have not been educated through the medium of English must present one of the following qualifications in the English language:
No work experience is required.
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