The Department of Mathematics at The Graduate School of the University of Charleston, South Carolina offers a graduate degree program leading to a Ph.D. in Mathematics with Computation. The program has several innovative features:
- Designed for students having the equivalent of a master of science, or exceptional individuals with mathematical preparation comparable to that of a master of science degree in mathematics or statistics. Purposely small, graduating two-to-three students per year, using a holistic approach to nurture many aspects of the student's development.
- Offers a part-time option accommodating local working students unable to relocate to pursue a Ph.D. Classes are late afternoon and evenings, with seminars at convenient times.
- All doctoral students will join vertically integrated research teams of undergraduate, master's students and their research mentors. Every doctoral student, whether full-time or part-time, will be fully engaged in her/his research team.
- Primary emphasis is on research andclose relationships with faculty mentors. The team-driven research model will result in high quality research output, establishing the reputation of the program.Program design allows greater flexibility in matching the interests and aspirations of individual students.
- All doctoral students must complete a computational project as an integral part of the dissertation. Computational projects include one or more of the following: creation of new computational methods or tools to advance mathematical understanding (including algorithms, symbolic software packages, and visualization); computer-assisted proofs and experimental mathematics (i.e. formal results inspired by experimentation, conjectures suggested by experiments, and data supporting significant hypotheses); development of large numerical or statistical codes yielding new mathematical data. Students will be exposed to appropriate computational tools in the core course sequences.
Our graduate mathematics faculty is actively involved in a wide variety of research areas, including algebra, analysis, combinatorics, dynamical systems, geometry, information retrieval, integrable systems, Lie theory, logic and nonstandard analysis, mathematical biology, mathematical linguistics, mathematical physics, nonlinear waves, number theory, numerical analysis and scientific computing, probability and statistics, representation theory, and topology. For more information, contact the Program Director or visit the program's website.
