Graduate Degree Programs in Mathematics

Graduate Program Information
Mathematical and Computer Science Program Website
Academic Calendar
Graduate Application
Graduate Admissions
Graduate Tuition and Fees
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Graduate Bulletin
Degrees Offered
Mathematical and Computer Sciences	M.S., Ph.D.
Fall 2011 Enrollment
Ph.D.	22
Master's	21
Additional Enrollment Reports
Participating Staff
Academic Faculty	24
Admissions Information
GRE General Test is required
GRE Subject Test is not required
TOEFL exam is required (international)
Admissions Statistics
Average GRE Quantitative	158
Average GRE Verbal	154
Average GPA (4.0 scale)	3.55
Percent applicants accepted	62%

The Department of Mathematical and Computer Sciences, with guidance from our internationally known faculty, challenges you to solve real problems from industry and government by applying theoretical tools from mathematical and computer science disciplines. Our focus on applied problems gives you hands-on experiences that are essential for a successful career in these fields.

Financial aid for graduate studies is available through teaching assistantships, research assistantships, and scholarship and grant programs. There is considerable competition for these awards. You are encouraged to apply by the deadline to receive thorough consideration for funding.

Degree Programs

Master of Science in Mathematical and Computer Sciences
Doctor of Philosophy in Mathematical and Computer Sciences

Research

The department offers graduate programs in three main areas of concentration: applied mathematics, applied statistics and computer sciences. Members of the department are actively involved in the Center for Wave Phenomena (CWP) and with the Center for Automation, Robotics and Distributed Intelligence (CARDI). These and other interdisciplinary activities give students many opportunities to participate in engineering and applied science projects on campus. Research is focused in the following areas:

Applied Mathematics

Classical Scattering Theory
Dynamical Systems
Inverse Problems
Mathematical Methods for Wave Phenomena
Nonlinear Partial Differential Equations
Numerical Analysis
Symbolic Computing
Wavelets

Applied Statistics

Geostatistics
Multivariate Statistics
Spatial Statistics
Nonparametric Statistics
Statistical Inverse Problems
Stochastic Models for Environmental Science
Survival Analysis
Time Series
Wavelet Applications

Contacts

Dr. Bill Navidi, Graduate Program Chair
Department of Mathematical and Computer Sciences
Colorado School of Mines
Golden, CO 80401
Phone: 303-273-3489
FAX: 303-273-3875

Colorado School of Mines
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