Graduate Programs
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Master of Science: Applied and Computational Mathematics
Graduate Program Coordinator: Dr. Roman Sznajder
The program of study leading to the Master of Science degree in applied and computational mathematics is designed to launch you into a career as a mathematical scientist, firmly prepared from the start to engage in the technical work of today's complex, computer-driven industries.
As a graduate of the program, you will emerge equipped with a strong foundation of advanced analytical skills, both in applied mathematics and in computer science. These advanced skills, for which there is a growing demand, will enable you to ascend to the technical career of your choice in industry, business, education, or government.
The curriculum of the program is oriented toward practical applications. The mathematics component of the curriculum consists of seven courses in applied mathematics, four of which are required, and three of which are electives. The computer science component of the curriculum consists of five courses, two of which are required, and three of which are electives.
In addition to the 36 credit hours of regular course work, the master's degree program requires each candidate to pass a comprehensive examination based upon the six required core courses.
For your convenience, the program offers a flexible schedule of evening classes, and a generous period of up to seven years to complete the course of study.
Click here to download our Graduate Program Brochure
Bowie State Alumni in Doctoral Programs
Florida Institute of Technology, Applied Mathematics
- Reemah Alhuzally
Morgan State University, Department of Mathematics
- Paul Bikoi
- Markus Mebrat
- Galamo F. Monkam
- Papa Seck
UMBC, Department of Mathematics & Statistics
- Guy Djokam
- Malick Mbodj (PhD, 2014)
Certificate in Applied and Computational Mathematics
The graduate Certificate in Applied and Computational Mathematics is awarded to students who successfully complete the six core courses, and who, in addition, pass the comprehensive examination at a satisfactory level.
Fall 2019 – Schedule of Graduate Classes in Applied and Computational Mathematics
MATH 500.091 - Intro. To Appl. Analysis
Class meets: M 5:00-7:30 pm
Location: CNSMN-3208
Instructor: Dr. R. Sznajder
MATH 541.091 - Numerical Analysis I
Class meets: W 5:00-7:30 pm
Location: CNSMN-3208
Instructor: Dr. R. Sznajder
MATH 550.091 - Complex Analysis
Class meets: T 5:00-7:30 pm
Location: CNSMN-3208
Instructor: Dr. M. Mahdavi
MATH 799.091 - Comprehensive Exam
Fall 2019 – Schedule of Graduate Classes in MAT (Master of Arts in Teaching Mathematics) and Continuing Education
MATH 501.091 - Transition to Abstr. Mathematics
Class meets: TR 1:00-2:20 pm
Location: CNSMN-3208
Instructor: Dr. K. Benbury
MATH 502.091 - Introduction to Abstract Algebra
Class meets: TR 10:00-11:20 am
Location: CNSMN-3208
Instructor: Dr. K. Benbury
MATH 504.091 - Intro. to Number Theory
Class meets: MW 9:30-10:50 am
Location: CNSMN-3208
Instructor: Dr. N. Petulante
MATH 507.091 - History of Math
Class meets: TR 11:00-12:30 pm
Location: CNSMN-3208
Instructor: Dr. K. Benbury
MATH 508.091 - Intro to Probab/Stat
Class meets: R 5:00-7:30 pm
Location: CNSMN-3206
Instructor: Dr. F. Chacon
Graduate Program Coordinator
Dr. Roman Sznajder
Professor, Graduate Program Coordinator
301-860-3360
rsznajder@bowiestate.edu
