College of Science and Mathematics

Department of Mathematics & Statistics

120 Math & Microbiological Sciences Building
(937) 775-2785
mathstats@wright.edu

Master of Science in Applied Mathematics, and MAthematical Modeling Concentration


PROGRAM DESCRIPTION

The Master of Science degree program in Applied Mathematics provides students with a thorough introduction to application-oriented mathematics.  The objectives of the program are two-fold: to develop the student's ability to analyze and solve a variety of real-world problems and to increase the student's understanding of specific problems encountered in other fields.  Students may tailor their programs to emphasize discrete or continuous mathematics, or probability and statistics.  Coursework in an area of application, such as computer science, engineering or physics is also encouraged.  Students may choose to complete a modeling project as part of their program.

The Applied Mathematics degree requires 45 quarter credits of course work.  The program is designed primarily to prepare graduates for careers in business, industry, or government, but can be tailored to provide a solid foundation for doctoral studies in mathematics. The department makes provision for part-time degree candidates by offering all required courses in the late afternoon or evening.

ADMISSION

The Applied Mathematics option is designed for students with an undergraduate degree in engineering, science, mathematics or statistics, who wish to acquire a solid foundation in applied mathematics.  Applicants for admission should have completed courses in multivariable calculus, ordinary differential equations and linear algebra.  In addition, students should have some experience with computer programming or the use of computational software packages, and courses in partial differential equations and physics are desirable. Applicants with insufficient preparation may be admitted on the condition that they complete certain prerequisite work to be specified by the department at the time of admission.

DEGREE REQUIREMENTS

In addition to the requirements of the Graduate School, the Master of Science degree in Applied Mathematics may be earned by satisfying the degree requirements described below.

NOTE: Wright State University will be converting to a semester calendar effective Fall 2012.  Under this new calendar, all M.S. degrees will require 30 semester hours of coursework.  Both quarter and semester based degree requirements are given below.  Academic advisors will assist students during the transition period.

Quarters

The following requirements are applicable until Fall 2012.

Required Core Courses - 16 Credits:

MTH 606 Mathematical Modeling
MTH 680, 681, 682 Methods of Applied Mathematics I - III
MTH 716 Numerical Analysis I

Advanced Courses - 12 Credits:

Three (3) additional courses chosen from*:

MTH 717, 718 Numberical Analysis II, III
MTH 730 Principles of Analysis
MTH 731, 732 Real Analysis I, II
STT 702 Applied Stochastic Processes
CS 740 Computational Comlexity and Algorithm Analysis
CS 765 Foundations of Neurocomputing
CS 766 Evolutionary Computing

Elective Courses - 17 - 18 credits:

Chosen from the courses below or from any of the advanced courses listed above*:

MTH607 Optimization Techniques
MTH 610 Theoretical Foundations of Computing
MTH 658 Applied Graph Theory
MTH 619 Cryptography and Data Security
MTH 631, 632, 633 Real Variables I - III
MTH 655 Advanced Linear Algebra
MTH 656 Coding Theory
MTH 657 Combinatorics
STT 661, 662 Theory of Statistics I, II
STT 664 Computational Statistics
STT 669 Introduction to Experimental Design

A mathematical modeling project performed under the supervision of a faculty advisor may be substituted for 6-10 credits of Electives listed above.

Students completing a project must give an oral presentation describing project results and pass two (2) 90-minutecomprehensive examinations over selected coursework. Students not completing a project must pass three (3) 90-minute comprehensive examinations over selected coursework.

*Certain other courses may be permitted as substitutions with advisor approval. Such courses may be offered by departments other than the Department of Mathematics and Statistics.

TOTAL CREDITS: 45 Credits

Semesters

The following requirements are applicable as of Fall 2012.

Required Core Courses - 13 Credits:

MTH 6060 Mathematical Modeling
MTH 6800, 6810 Methods of Applied Mathematics I, II
MTH 7160 Numerical Analysis I

Advanced Courses - 7 - 8 Credits:

Two (2) additional courses chosen from:

MTH 7170 Numerical Analysis II
MTH 7310, 7320 Real Analysis I, II
MTH 7770 Applied Analysis
STT 7020 Applied Stochastic Processes
CS 7400 Computational Comlexity and Algorithm Analysis
CS 7xxx TBD

Elective Courses - 3 - 10 credits:

Chosen from the courses below or from any of the advanced courses listed above:

MTH6070 Optimization Techniques
MTH 6100 Theoretical Foundations of Computing
MTH 6190 Cryptography and Data Security
MTH 6310, 6320 Real Variables I, II
MTH 6550 Advanced Linear Algebra
MTH 6560 Coding Theory
MTH 6570 Combinatorics and Graphing Theory
STT 6610, 6620 Theory of Statistics I, II
STT 6640 Computational Statistics

A mathematical modeling project performed under the supervision of a faculty advisor may be substituted for 4-6 credits of Electives listed above.

Students completing a project must give an oral presentation describing project results and pass two (2) 90-minutecomprehensive examinations over selected coursework. Students not completing a project must pass three (3) 90-minute comprehensive examinations over selected coursework.

*Certain other courses may be permitted as substitutions with advisor approval. Such courses may be offered by departments other than the Department of Mathematics and Statistics.

TOTAL CREDITS: 30 Credits

Click here for a complete catalogue listing of graduate mathematics courses.
__________________________________________________

For further information about the mathematics program, contact:

Dr. David Miller, Applied Mathematics Advisor
227 MM
937-775-2068
david.miller@wright.edu


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