The Department of Mathematical and Computer Sciences (MCS) offers opportunities for graduate study leading to Master's and Ph.D. degrees. The main research areas in the department include partial differential equations, dynamical systems, numerical analysis, statistics, and high performance computing. The department emphasizes the application of mathematics and computer science in interdisciplinary programs and to problems that occur in industry.

The Master of Science degree (thesis option) requires 24 semester hours of acceptable coursework including the required core curriculum, and 12 semester hours of research. Students in this masters program must complete and defend a thesis.

The Master of Science degree (non-thesis option) requires 36 semester hours of coursework, including the required core curriculum.

The Doctor of Philosophy requires 72 semester hours beyond the bachelor's degree, of which no fewer than 24 hours are thesis hours. Doctoral students must pass the comprehensive examination (which includes written qualifying examinations and a thesis proposal), and complete and defend a thesis.

There are three areas of concentration within the Department:

• Computational & Applied Mathematics
• Applied Statistics
• Computer Science

The requirements for these different areas vary somewhat. However, labeling these as distinct areas is not meant to discourage any student from pursuing research involving two or more areas. Work in any combination of the areas can lead to the degree of Master of Science or Doctor of Philosophy.

Current faculty specialties are:

Comp. & Applied Mathematics	Applied Statistics	Computer Sciences
Classical Scattering Theory Dynamical Systems Inverse Problems Mathematical Finance Mathematical Methods for Wave Phenomena Micro-local Analysis Nonlinear Partial Differential Equations Numerical Analysis Optimal Control Optimization Software Seismic Inverse Methods Symbolic Computing Wavelets	Geostatistics Hierarchical Bayes Methods Kalman Filtering Large Data Sets Multivariate Statistics Spatial Statistics Splines State-Space Models Statistical Inverse Problems Survival Analysis Wavelet Applications	Sensor Networks Simulation Computer Vision and Image Processing Ad Hoc Networks Data Mining Applied Algorithms and Data Structures VLSI Design Automation Parallel Computing Computer Graphics Scientific visualziation Computer Aided Geometric Design Applications of Machine Learning Cognitive Modeling

Many research projects are conducted in collaboration with faculty from other departments at CSM (and elsewhere). This gives opportunities for interdisciplinary work, and may lead to financial support. In particular, we are actively involved with several Research Centers, including the Center for Wave Phenomena (CWP) and the Center for Automation, Robotics and Distributed Intelligence (CARDI).

The CSM Graduate School Office website has information valuable to current students, as well as students who are interested in Graduate Study at CSM.