Computational Applied Mathematics, M.S.

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(30 UNITS)

The Master of Science in Computational and Applied Mathematics program is for individuals who are seeking careers in industry or advanced degrees in mathematics, engineering and science. It was developed in consultation with mathematicians and scientists in the local industrial community. The program emphasizes modern applied mathematics, modeling, data analysis and scientific computation. Every class involves the use of modern interactive software for numerical computation and simulation modeling, including MATLAB and R. The program ends with a culminating experience course, where students must complete a real-world industry-sponsored project.

Admission Requirements

Students must meet the CSU requirements for admission to a master’s degree program. Please consult the Graduate Admissions section in this catalog for complete information. In addition, applicants are admitted in conditionally classified standing with a grade-point average of 3.0 or better as undergraduate mathematics majors in all upper-division mathematics courses, or a combination of previous coursework and work experience approved as equivalent by the graduate committee of the Mathematics Department.

Classified Standing

A student’s status is changed to classified standing when the following requirements have been met:

Completion of all prerequisites and/or deficiencies, including the University Writing Requirement
Development of a study plan approved by the Mathematics Department and Academic Programs
A classified graduate student must maintain a 3.0 GPA in all coursework to remain in good standing

Degree Requirements (30 units)

Culminating Experience (6 units)

Students must complete a project as their culminating experience. Please consult the Culminating Experience section in this catalog for more information.

The project includes final deliverables to industrial sponsors and is documented through oral presentations, computer code and a written final report. Student success is assessed by the instructor and industry professionals by means of the student’s work on the appropriate mathematical models, computer code, data analysis and real-world applications with conclusions. These assessments provide substantial evidence of independent thinking, organization, critical analysis and accuracy of documentation.

MATH 597 - Industrial Project in Computational Applied Mathematics (3-6) *

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