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2016-2017 University Catalog 
  
2016-2017 University Catalog

Computational Sciences, MS


Banner Code:  SC-MS-COMP

College: College of Science  
Department: Computational and Data Sciences  

The Computational Sciences, MS  addresses the growing demand for trained computational scientists and engineers, and data scientists. It combines a solid foundation in computational science skills with courses in a variety of scientific and engineering computer-intensive areas where modeling and 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. The areas of emphasis are:

  • Computer Modeling and 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.

Students may also combine areas of emphasis to create their own customized curriculum under the guidance of a faculty advisor.

Most of the courses are offered in the late afternoon or early evening to accommodate students with full-time employment outside of the university.

An accelerated master’s option is available to students in the bachelor’s program. See Computational and Data Sciences, BS/Computational Science, Accelerated MS  for requirements. 

Admission Requirements

Applicants to all graduate programs at George Mason University must meet the admission standards and application requirements as specified in the Graduate Admission Policies  section of this catalog. Applicants to the Computational Sciences, MS  should have academic backgrounds in physical or biological sciences, engineering, mathematics, or computer science. They should have an undergraduate degree from a regionally accredited institution with a GPA of at least 3.00 in their last 60 credits of study. In addition, applicants should have taken at least one course in differential equations and have facility in using a high-level computer programming language.

To apply, prospective students should complete the Mason Graduate Application, supply two copies of official transcripts from each university attended, a current résumé, and an expanded goals statement. Applicants should also provide three letters of recommendation and an official report of scores on the GRE-GEN. The GRE-SUB is recommended if it is given in the student’s undergraduate major. The GRE requirement will be waived if the student holds a master’s degree from a regionally accredited U.S. institution. TOEFL scores are required of all international applicants. For more information, see the Admission of International Students  section of this catalog.

Degree Requirements


Candidates must successfully complete 30 credits chosen in the categories shown below to create a curriculum plan for an area of emphasis or combined areas of emphases in consultation with their academic advisor.

Computational Electives (15 credits)


Select from any graduate-level CSI, CDS, or CSS courses listed in the catalog not including: CSI 796 , CSI 798 , CSI 799 , CSI 898 , CSI 899 , CSI 991 , CSI 996 , or from courses previously taken.

Electives (9 credits)


Typically chosen from statistics, computational sciences and informatics, information technology, engineering, mathematics, physics, and chemistry courses. No more than 6 credits may be chosen from areas outside of CSI.

Elective credits may also include:

Degree Total: 30 credits