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.
Get more detailsVisit official programme website
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).
- High-Performance Computing (10 ECTS)
- High-Performance Computing laboratory (15 ECTS)
- High Performance Computing Seminar Series (5 ECTS)
- High-Performance Computing Project (30 ECTS)
- Classical Simulations (10 ECTS)
- Stochastic Methods (5 ECTS)
- Stochastic Methods (5 ECTS)
- Financial Applications (5 ECTS)
- Electronic structure (5 ECTS)
- Computational quantum chemistry (5 ECTS)
- 12 months
Start dates & application deadlines
- Deadline passed
DisciplinesComputer Sciences View 31 other Masters in Computer Sciences in Ireland
Applicants will need to hold:
- at least a 2.1 honors degree from an Irish university or equivalent result from a university in another country
- a fluent command of the English language
International19640 EUR/yearTuition FeeBased on the original amount of 19640 EUR per year and a duration of 12 months.
EU/EEA7424 EUR/yearTuition FeeBased on the original amount of 7424 EUR per year and a duration of 12 months.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Due for update
Updated over a year ago
Check the official programme website for potential updates.