Master of Science in Computational Science
(Banner code: SC-MS-COMP)
The Master of Science (MS) in Computational Science (COMP) 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 computer modeling, simulation, and data analysis 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.
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.
For more information, please contact the COMP Graduate Coordinator.
Applicants to all graduate programs at George Mason University must meet the admission standards and application requirements for graduate study as specified in the Admissions section of the catalog. Applicants to the Computational Science, 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 online 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. The GRE-SUB in the student’s undergraduate major is recommended. An official report of the GRE-GEN scores is optional. TOEFL scores are required of all international applicants. For more information, see the Admission of International Students section in the Admissions section of the catalog.
The Computational Science MS entails 30 graduate credits, which include 6 credits of required core courses, 15 credits of computational electives, and 9 credits of electives.
Required Core Courses (6 credits)
Select from the following:
- CSI 690 – Numerical Methods Credits: 3
- CSI 695 – Scientific Databases Credits: 3
- CSI 702 – High-Performance Computing Credits: 3
- CSI 703 – Scientific and Statistical Visualization Credits: 3
Computational Electives (15 credits)
Electives (9 credits)
Typically chosen from physics, chemistry, mathematics, statistics, engineering, information technology, and computational sciences and informatics courses. No more than 6 credits may be chosen from areas outside of CSI.
Elective credits may also include:
- CSI 796 – Directed Reading and Research Credits: 1-6
- CSI 798 – Research Project Credits: 3
- CSI 799 – Master’s Thesis Credits: 1-6
Degree Total: 30 credits