MS in Computational Science Postgraduate Programme By George Mason University |TopUniversities

MS in Computational Science

Subject Ranking

# 601-675QS Subject Rankings

Main Subject Area

Physics and AstronomyMain Subject Area

Programme overview

Main Subject

Physics and Astronomy

Study Level

Masters

The Computational Science, MS addresses the growing demand for trained computational scientists and engineers, and data scientists. It combines a solid foundation in information technology skills with computational courses in a variety of scientific and engineering areas where large-scale simulation, data analysis, and high performance computing play a central role. Working with an advisor, a student may choose to pursue an area of emphasis. Typical areas of emphasis are: Modeling & Simulation: Intended for students who wish to learn computational solution techniques for modeling and simulation of scientific and engineering phenomena. Data Science: Intended for students who wish to learn computational methods for acquiring, extracting, and analyzing large-scale data obtained by observations, experiments, modeling, and database searches. Transportation Safety: Intended for students who wish to gain skills in modeling and simulation analysis for automotive crashworthiness and occupant safety, as well as other impact related applications. Students may also combine areas of emphasis to create their own customized curriculum under the guidance of a faculty advisor.

Programme overview

Main Subject

Physics and Astronomy

Study Level

Masters

The Computational Science, MS addresses the growing demand for trained computational scientists and engineers, and data scientists. It combines a solid foundation in information technology skills with computational courses in a variety of scientific and engineering areas where large-scale simulation, data analysis, and high performance computing play a central role. Working with an advisor, a student may choose to pursue an area of emphasis. Typical areas of emphasis are: Modeling & Simulation: Intended for students who wish to learn computational solution techniques for modeling and simulation of scientific and engineering phenomena. Data Science: Intended for students who wish to learn computational methods for acquiring, extracting, and analyzing large-scale data obtained by observations, experiments, modeling, and database searches. Transportation Safety: Intended for students who wish to gain skills in modeling and simulation analysis for automotive crashworthiness and occupant safety, as well as other impact related applications. Students may also combine areas of emphasis to create their own customized curriculum under the guidance of a faculty advisor.

Admission Requirements

6.5+
Other English Language requirements: Students are required to have paper-based TOEFL of 570 and 230 on the computer-based TOEFL ; overall band score of 59 on the Pearson Test of English.

Jan-2000

Tuition fees

Domestic
0 USD
International
0 USD

Scholarships

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