| Course Name |
Computing - High Performance Computing |
| Course Provider |
Trinity College Dublin |
| Course Code |
DPTMA-HPCO-1F09 |
| Course Type |
Postgraduate |
| Qualifications |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
| Degree - Masters (Level 9 NFQ)
More info...
|
Major |
University of Dublin |
Level 9 NFQ |
| Postgraduate Diploma (Level 9 NFQ)
More info...
|
Major |
University of Dublin |
Level 9 NFQ |
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| Apply To |
Course provider |
| Attendance Options |
Full time, Daytime |
| Location (Districts) |
Dublin City Centre |
| Qualification Letters |
M.Sc. / P.Grad.Dip. |
| Enrolment and Start Dates Comment |
Next Intake: September 2023 |
| Application Date |
Closing Date: 31st July 2023 |
| Application Weblink |
Web Page - Click Here |
| Duration |
1 year full-time. |
| Link to Course Fee |
Web Page - Click Here |
| Entry Requirements |
Admission Requirements
Applicants should normally have a first or second class (upper division) degree in a subject with a significant mathematical component and should have some knowledge of computing and numerical simulation methods. |
| Course Summary |
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. |
| Course Content |
Expand+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 simu...
Hide-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.
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| Careers or Further Progression |
Expand+Career Opportunities
Graduates have pursued careers in mathematical modeling, simulation and forecasting, database mining, resource management, and in other fields related to mathematics, physics, chemistry and biotechnology, engineering and finance...
Hide-Career Opportunities
Graduates have pursued careers in mathematical modeling, simulation and forecasting, database mining, resource management, and in other fields related to mathematics, physics, chemistry and biotechnology, engineering and finance.
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.
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| Further Enquiries |
Course Coordinator
Prof. Kirk Soodhalter
Telephone Number: +353-1-896 1485
Email: mjp@maths.tcd.ie
Website: https://msc.tchpc.tcd.ie/ |
| Course Web Page |
Web Page - Click Here |
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