The Department of Mathematics offers three graduate degrees:
The MA in Mathematics Program is a thirty-three credit Master’s Program designed to offer candidates flexibility through elective courses. The core curriculum is eighteen mathematics courses consisting of abstract algebra, real analysis, mathematical statistics, and geometry. Students in this program have fifteen credits of electives, which they may carefully select to prepare themselves for a wide variety of job opportunities. The student’s capstone experience is either a thesis or an oral comprehensive exam. A thesis is recommended, if a student would like to pursue a doctoral degree in mathematics or a related field, or be employed as a research mathematician. A graduate degree in mathematics is a much sought-after degree by many employers because mathematics teaches discipline and great problem-solving skills. Through selection of elective courses students may prepare for a wide variety of jobs in many areas with possible employment in colleges, universities, and many state, federal and private agencies. The program is also well suited for high school mathematics teachers or educators who are interested in college teaching. Students may elect up to four mathematics education courses. For further information, please contact Dr. Gail Gallitano, Program Coordinator.
MS in Applied and Computational Mathematics
The Master of Science in Applied and Computational Mathematics Program is designed to provide students with training essential to launching a career as an industrial mathematician and to provide a course of study that would facilitate doctoral study in applied or computational mathematics or further graduate study in a computationally-intensive cognate area. The project-driven curriculum equips students with an advanced body of knowledge in content areas that span the realm of applied mathematics, including differential equations, discrete mathematics, probabilistic modeling, optimization, and statistical analysis. The development, refinement, analysis, and validation of mathematical models of real-world phenomena extracted from actual industrial settings is front and center in all courses. Dual emphasis is placed on computational mathematics in the study of all real-world projects in each course of the curriculum. Semester-long team-oriented projects culminating in formal technical reports and oral presentations are required in each course. For further information, please contact Dr. Mark McKibben, Program Coordinator.
MS in Applied Statistics
The MS in Applied Statistics is a state-of-the art program that brings together statistical theory, computer programming, and scientific research. This degree prepares you for immediate employment in a variety of high-paying industry positions as well as for doctoral study in applied statistics or a related field. For further information, please contact Dr. Randy Rieger, Program Coordinator.