Computational Sciences and Informatics, PhD
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Computational Sciences and Informatics, PhD
The Computational Sciences and Informatics, PhD program was founded in 1992 and addresses the role of computation in science, mathematics, and engineering. It is designed around the emphases of Computer Modeling and Simulation and of Data Science.
Program Description
Computational science, focused on modeling and simulation, is defined as the systematic development and application of computing systems and computational solution techniques for modeling and simulation of scientific and engineering phenomena. Informatics, focused on data science, is defined as the systematic development and application of computing systems and computational solution techniques for analyzing data obtained through experiments, modeling, database searches, and instrumentation. The resulting interdisciplinary approach leads to an understanding that traditional theory or experimentation alone cannot provide.
Program Highlights
- The strength of this program lies in its ability to foster and promote truly interdisciplinary research that crosses traditional domain boundaries. Each student is presented with exciting opportunities of interdisciplinary research fundamentally different from traditional PhD programs.
- Scheduled courses and sequences accommodate part-time students, with most courses meeting once a week in the late afternoon or early evening.
Career Paths
The close relationship of the PhD to research and development activities in federal laboratories, scientific institutions, and high-technology firms gives graduates opportunities for new employment and professional advancement.
Research Opportunities
Research and teaching activities associated with the program reflect the recognized role of computation for better understanding of nature as part of a triad with theory and experiment.
Admission Requirements
Students interested in applying for admission should have a bachelor's degree in computational science, any natural science, mathematics, engineering, or computer science with a minimum GPA of 3.00 in their last 60 credits of study. Applicants to the PhD program should have a mathematics background up to and including differential equations and should also have knowledge of a computer programming language such as C, C++, Fortran, Python, etc.
Non-Discrimination Policy
The programs and services offered by George Mason University are open to all who seek them. George Mason does not discriminate on the basis of race, color, religion, ethnic national origin (including shared ancestry and/or ethnic characteristics), sex, disability, military status (including veteran status), sexual orientation, gender identity, gender expression, age, marital status, pregnancy status, genetic information, or any other characteristic protected by law. After an initial review of its policies and practices, the university affirms its commitment to meet all federal mandates as articulated in federal law, as well as recent executive orders and federal agency directives.
