Chair: Julien Langou
Associate Chair: Stephen Billups
Program Assistant: Maria Rase
Administrative Assistant: Susan Rivera
Office: Student Commons Building, 4th Floor
Telephone: 303-315-1700 (department)
Department Email: MathStaff@ucdenver.edu
Michael S. Jacobson, PhD, Emory University
Julien Langou, PhD, INSA, Toulouse, France
Weldon A. Lodwick, PhD, Oregon State University
Jan Mandel, PhD (equivalent), Charles University (Czechoslovakia)
Stephen Billups, PhD, University of Wisconsin-Madison
Alexander Engau, PhD, Clemson University
Michael Ferrara, PhD, Emory University
Stephen Hartke, PhD, Rutgers University
Florian Pfender, PhD, Emory University
Anatolii Puhalskii, PhD, Moscow Institute of Physics and Technology
Stephanie A. Santorico, PhD, North Carolina State University
Burton Simon, PhD, University of Michigan, Ann Arbor
Diana White, PhD, University of Nebraska
Erin Austin, PhD, University of Minnesota
Steffen Borgwardt, PhD, Technische Universität München
Troy Butler, PhD, Colorado State University
Varis Carey, PhD, Cornell University
Joshua French, PhD, Colorado State University
Audrey Hendricks, PhD, Boston University
Assistant Professor, Clinical Teaching Track:
RaKissa Cribari, EdD, University of Northern Colorado
Meaghan Cheeke, MA, University of Northern Colorado
Michael Kawai, MS, University of Colorado
Lance Lana, MS, University of Colorado
Jose Mijares Palacios, Universidad Central de Venezuela
Mehdi Nikpour, PhD, University of Toledo
Gary Olson, MS, University of Colorado
Dmitriy Ostrovskiy, PhD, State University of New York at Stony Brook
International College of Beijing Faculty:
Robert Rostermundt, PhD, University of Colorado Denver
Jer-chin (Luke) Chuang, PhD, Rice University
Loren Cobb, PhD, Cornell University
Aime Fournier, PhD, Yale University
William Briggs, PhD, Harvard University
William E. Cherowitzo, PhD, Columbia University
Kathryn L. Fraughnaugh, PhD, University of Houston
Harvey J. Greenberg, PhD, Johns Hopkins University
Sylvia Lu, PhD, Pennsylvania State University
J. Richard Lundgren, PhD, Ohio State University
Stanley E. Payne, PhD, Florida State University
Roland Sweet, PhD, Purdue University
The Department of Mathematical & Statistical Sciences at the University of Colorado Denver offers applied mathematics degrees and certificate programs through coursework, research and collaboration. Traditional courses such as calculus, linear algebra, probability, statistics and discrete mathematics are offered regularly by the department. In addition, contemporary subjects such as continuous, probabilistic, optimization and discrete modeling; high performance computing; numerical analysis; optimization; discrete mathematics and operations research are also well represented by course offerings and faculty interests. In all of its activities, the department embodies the outlook that mathematics is a powerful tool that can be used to solve problems of immediate and practical importance.
Apart from the specialized mathematical skills acquired through course work, the degree also provides general skills that are valued by many employers. These skills include problem solving, critical thinking, analysis, facility with data, the ability to process quantitative information, and perhaps most important of all, the ability to learn new skills and concepts quickly.
Center for Computational & Mathematical Biology
Director: Weldon Lodwick
The Center for Computational Biology (CCMB) is a multidisciplinary center focused on computational and mathematical biology research and education.
Center for Computational Mathematics
Director: Troy Butler
The Center for Computational Mathematics is composed of faculty members who have an interest in computational mathematics, the study of solving mathematical problems with computers. The center resides in the Department of Mathematical and Statistical Sciences and includes faculty members from various other departments. The primary goal of the center is to foster research in computational mathematics and to maintain a strong educational program at all levels. It has extensive ties with industry along the Front Range and with government laboratories throughout the nation. It offers students an excellent opportunity to receive training and experience in this exciting new field. The center operates two high-performance computing machines: gross.ucdenver.edu and colibri.ucdenver.edu
Each semester, the mathematical and statistical sciences department conducts math clinics that are open to both undergraduate and graduate students. Each clinic is sponsored by a business, government agency or research organization. The clinic sponsor provides a specific project on which students work with the supervision of a faculty member and a sponsor representative. Every clinic results in a final report to the sponsor and provides participating students with an opportunity to apply mathematics to relevant problems. Recent math clinic sponsors include Raytheon, Lockheed Martin, Xenometrix, Budget Truck Rental and United Launch Alliance.
Statistical Consulting Service
The Department of Mathematical and Statistical Sciences regularly offers a graduate course in statistical consulting in which students work on problems provided by researchers and clients at CU Denver and in the Denver metropolitan area. Potential clients should contact Loren Cobb at firstname.lastname@example.org or 303-315-1739.
Director: Florian Pfender
The Department of Mathematical and Statistical Sciences offers a BS program that provides broad training in mathematics with the option of specializing in one of five areas of special emphasis, or simply satisfying the requirements without specifying an area. The three areas of emphasis are: applied mathematics, probability and statistics, and economics. (Required courses for each option are outlined on the Requirements for Math Majors .)
To determine which math course a student should take first, see the Department of Mathematical and Statistical Sciences webpage (www.math.ucdenver.edu).
Students with potential transfer credit that was not automatically accepted upon admission should contact the Department of Mathematical and Statistical Sciences (MathStaff@ucdenver.edu or 303-315-1700).
Students must declare a major in the CLAS Advising Office. Once a major is declared, students should contact the Department of Mathematical and Statistical Sciences to meet with a math advisor, and continue to do so at least once per semester. All mathematics majors should visit the CLAS Advising Office to have graduation requirements checked at a minimum the semester prior to graduation.
Click here to learn about the requirements for the Mathematics Major.
Click here to learn about the requirements for the Dual Degree: Mathematics BS/Economics BA.
Click here to learn about the requirements for the Mathematics Minor.
Graduation With Honors
The mathematical and statistical sciences department recognizes students who complete the undergraduate program with distinction. To be eligible for graduation with honors (cum laude, magna cum laude, summa cum laude), a student must graduate with an overall GPA of 3.2 or better; must have a GPA of 3.5 or better in upper-division math courses; and must complete an honors project. Specific details may be obtained from the Department of Mathematical and Statistical Sciences. Students who wish to be considered for graduation with honors should notify a mathematics advisor as early in the program as possible.
Applied Statistics Certificate
Director: Stephanie Santorico
There is a growing need for qualified statistical analysts of the ever-increasing amounts of data collected in business, industry, and government. The certificates in applied statistics program is designed to give students a strong background in statistical methodology and data analysis in preparation for opportunities in the work force or for graduate studies. The Department of Mathematical and Statistical Sciences offers certificates in applied statistics at both the undergraduate and graduate levels.
Click here to learn about the Undergraduate Applied Statistics Certificate.
Please go to the Graduate catalog to read about our graduate programs.