|Application deadline:||31st July|
|Tuition fee:|| |
|Start date:||October 2015|
|Credits (ECTS):||90 ECTS|
|Duration full-time:||12 months|
|Delivery mode:||On Campus|
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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).
* 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)
Other options up to 10 ECTS, which may include reading courses or courses on relevant topics offered in TCD.
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
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:
* IELTS: Grade 6.5
* TOEFL: 88 - iBT, 230 - Computer based, 570 - paper based
* Cambridge Certificate of Advanced English: Grade C
* Cambridge Certificate of Proficiency in English: Grade C
| CAE score: (read more) |
Cambridge English: Advanced (CAE) is part of the Cambridge English suite and is targeted at a high level (IELTS 6.5-8.0). It is an international English language exam set at the right level for academic and professional success. Developed by Cambridge English Language Assessment - part of the University of Cambridge - it helps you stand out from the crowd as a high achiever.
|200 (Grade A)|
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