Description from the Graduate Catalog

The primary goal of this program is to provide the appropriate mathematical knowledge and experience for persons seeking positions in industry. The program focuses on those mathematical theories and techniques which are applicable in the industrial setting. Emphasis is on the construction of mathematical models of industrial problems and on the mathematical tools that can be applied to such models. The program has two tracks, focusing on continuous mathematics or discrete mathematics. Courses required for the program are offered in the late afternoon or evening to accommodate the part-time student. Teaching assistantships are available to full-time students on a competitive basis.

Admission

Admission is selective. All applicants who have received a baccalaureate from an accredited institution with a cumulative grade point average or 3.00 or more will be considered. The successful candidate's background should include courses in mutivariable calculus, linear algebra, and differential equations, and a knowledge of at least one high-level scientific programming language such as Pascal, Fortran, C, or PL/1. Students admitted without some aspects of the required background will be expected to remedy the deficiency before enrolling in many of the courses of the program.

Requirements for the degree

To fulfill the requirements for the Master of Science in Industrial Applied Mathematics a student must successfully complete, with at least a 2.5 in each course and an overall grade point average of 3.00 or better, a 36-credit program as outlined below.

The faculty of the Department of Mathematics and Statistics at Oakland University designed this program in consultation with a group of individuals with strategic positions in Michigan industry. Both the Department and the industrial advisers view this program as a constructive step toward strengthening the technology of industry in Southeast Michigan.
Students with an undergraduate degree in mathematics, engineering, statistics, operations research, or the physical sciences will usually have met the prerequisites for admission. Other students with similar backgrounds also qualify. Students who do not satisfy all of the prerequisites may be admitted on a conditional basis with the stipulation that specific prerequisites be satisfied within a specified time interval. The courses in this program include numerical methods, mathematical modeling of industrial problems, statistics, mathematical programming, partial differential equations, computational geometry, and numerical methods for partial differential equations. Some courses are taught every year, while other courses are taught on an alternating basis every other year. The schedule is designed to allow the full time student to complete the course work of the program in 4 semesters of full time work, with one additional semester for the research project. For part time students (one course per semester), the program can be completed in 9 semesters. Courses satisfying program requirements may not be available in the summer semester.