M.Sc. High Performance Computing (M.Sc./P.Grad.Dip)

University of Dublin Trinity College

Application deadline: 31st July
Tuition fee:
  • € 5,750 / Year (EEA)
  • € 11,500 / Year (Non-EEA)
Start date: October  2013
Credits: 90 ECTS
Duration full-time: 12 months
Languages:
  • English
Location:
Disciplines:
Delivery mode: On Campus
Educational variant: Full-time

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Description

the M.Sc. in High-Performance Computing, a one-year, full-time taught M.Sc. programme, run by the School of Mathematics,Trinity College, Dublin. The degree provides practical training in the emerging field of high-performance technical computing, which has applications in scientific simulation and mathematical modelling of systems in areas ranging from telecommunications to financial markets.

High-Performance Computing is the use of the most powerful computer systems to solve the substantial technical and numerical problems that arise in simulations of complex physical, biological and financial systems.

The subject includes the technology and problem-solving mathematical and programming skills needed to solve complex technical questions using super-computers.

During your year in Trinity, you will develop the expertise to harness a large number of computer processors and use them to solve large numerical problems quickly, precisely and reliably. The course will also present practical mathematical skills needed to translate complex systems into a form the computer can manipulate and solve efficiently.

Successful graduates of the course go on to careers in technical and scientific computing and modelling, either in industrial or academic positions. A substantial number of graduates begin research towards their Ph.D. directly after completing the course, studying topics as diverse as astrophysics, biomolecular modelling, fluid mechanics and financial mathematics.

The skills learned during the course allow the student to construct and determine the dynamics of sophisticated models of complex systems, and these skills have allowed many of our graduates to prosper in commercial analysis jobs. Many graduates go on to positions in the finance industries.

The technical and technological skills learned during the year allow many students to work directly in the IT sector, either directly in advanced software development or in the optimisation of large codes to high-performance computing platforms.

Contents

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).

COMPULSORY MODULES:

* High-Performance Computing (10 ECTS)
* High-Performance Computing laboratory (15 ECTS)
* High Performance Computing Seminar Series (5 ECTS)
* High-Performance Computing Project (30 ECTS)

OPTIONAL MODULES:

* 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.

Requirements

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

English Language Requirements

CAE score: 80(Grade C)
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