Best Mathematics and Statistics Masters Programs in Maryland

The Johns Hopkins University Mathematics, PhD program's purpose is to prepare graduate students to work as research mathematicians. Analysis and geometric analysis, algebraic geometry and number theory, differential geometry, algebraic topology, category theory, and mathematical physics are among the faculty's research interests. During the first several years of the program, PhD candidates study two or three courses per semester. The  faculty offers a variety of mandatory and intermediate-level graduate courses, individual studies, and special topics classes.

The University of Maryland's Mathematics, Master of Arts (M.A.) degree program in Mathematics provides both a thesis and a non-thesis option; most students choose the latter. Students pursuing the non-thesis alternative must complete 30 credit hours with a minimum grade point average of B.  Students must complete 6 hours of thesis research, produce a good thesis, and pass a final oral exam.

BS, BA, and Minor Programs in Mathematics and Statistics.

MS and PhD Programs in Applied Mathematics or Statistics.

The department has had an active graduate program in applied mathematics since 1970. It expanded to include a full graduate program in statistics in 1984.

The doctoral programs provide training suitable for employment in academia, industrial research and development organizations, as well as research-oriented government agencies. They also can serve as preparatory steps toward advancing to a PhD program.

The department can only process complete applications submitted to that site.

Each track defines a set of well-focused graduation requirements. Students who intend to continue to the doctoral programs should consider the traditional tracks in Applied Mathematics or Statistics. Most graduate courses are offered in the late afternoon or in the evening to enable the participation of those who hold full-time employment.

Applications-oriented track: Environmental Statistics with comprehensive examination option.

The comprehensive examination options require taking 30 credits of courses and passing a written comprehensive examination.

The department offers doctoral study in a broad spectrum of both classical and modern applied mathematics and statistics. Admission to these programs presupposes a strong background in mathematics and or statistics. Doctoral students continue with advanced study and dissertation research, with specialization in any of the departmental fields or in an interdisciplinary area.

Particular emphasis is given to the following areas in applied mathematics: differential equations and applications, numerical analysis and scientific computation, dynamical systems, stochastic processes, mathematical biology, optimization theory and algorithms.

In statistics, the areas of emphasis are: Bayesian analysis, biostatistics, data mining, design of experiments, environmental statistics, nonparametric statistics, reliability, spatial statistics and image analysis, statistical decision theory and inference, survival analysis, time series analysis.

The Policies and Procedures handbook describes policies and procedures pertaining to graduate students in the Mathematics and Statistics at UMBC.

The focus of the handbook is on full-time students who receive from the department. Many, but not all, of the policies described here apply to part-time and independently-supported students as well.

If you are interested in applying for admission to the graduate program in Applied Mathematics or Statistics, you may want to submit a pre-application form for a no-cost, no-obligation informal feedback how well your educational background fits the demands of the program.