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Chair: Julien Langou
Associate Chair: Stephen Billups
Program Assistant II: Maria Rase
Administrative Assistant: Susan Rivera
IT Senior Professional: Joseph Malingowski
Office: Student Commons Building, 4th Floor
Telephone: 303-315-1700
Fax: 303-315-1704
Website: www.math.ucdenver.edu
Department Email: MathStaff@ucdenver.edu

Please click on any of the following to go right to that information:

• Centers and Clinics
• Graduate Program

 Faculty

Professors:

Michael S. Jacobson, PhD, Emory University
Julien Langou, PhD, INSA, Toulouse, France
Weldon A. Lodwick, PhD, Oregon State University
Jan Mandel, PhD, Charles University (Czechoslovakia)
Stephanie A. Santorico, PhD, North Carolina State University

Associate Professors:

Stephen Billups, PhD, University of Wisconsin-Madison
Michael Ferrara, PhD, Emory University
Stephen Hartke, PhD, Rutgers University
Florian Pfender, PhD, Emory University
Anatolii Puhalskii, PhD, Moscow Institute of Physics and Technology
Burton Simon, PhD, University of Michigan, Ann Arbor
Diana White, PhD, University of Nebraska

Assistant Professors:

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
Yaning Liu, PhD, Florida State University

Assistant Professors Clinical Teaching Track:

RaKissa Cribari, EdD, University of Northern Colorado

Senior Instructors:

Gary Olson, MS, University of Colorado
Robert Rostermundt, PhD, University, Denver

Instructors:

Joe Bilello, MS, Long Island University
Michael Kawai, MS, University of Colorado, Denver
Lance Lana, MS, University of Colorado, Denver
Jose Mijares Palacios, PhD, Universidad Central de Venezuela
Mehdi Nikpour, PhD, University of Toledo
Dmitriy Ostrovskiy, PhD, State University of New York at Stony Brook
Pamela Whitten, MA, University of Colorado, Boulder

International College of Beijing Faculty:

Jer-chin (Luke) Chuang, PhD, Rice University
Chun Chieh (James) Hu, PhD, Syracuse University

Research Faculty:

Aime Fournier, PhD, Yale University

Emeritus Faculty:

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
Andrew Knyazev, PhD, Russian Academy of Sciences
Sylvia Lu, PhD, Pennsylvania State University
J. Richard Lundgren, PhD, Ohio State University
Roland Sweet, PhD, Purdue University

The Department of Mathematical & Statistical Sciences at the University of Colorado Denver offers degrees in applied mathematics and statistics 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: high performance computing, numerical analysis, optimization, statistical methods, 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 and statistical 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
Telephone: 303-315-1733
Website:  http://ccmb.ucdenver.edu/

The Center for Computational Biology (CCMB) is a multidisciplinary center focused on computational and mathematical biology research and education.

Center for Computational Mathematics

Director: Jan Mandel
Telephone: 303-315-1703
Website:  http://ccm.ucdenver.edu

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 several supercomputing clusters.

Math Clinic

Website:  http://www.ucdenver.edu/academics/colleges/CLAS/Departments/math/Research/mathclinic/Pages/ClinicConcept.aspx

Each semester, the Department of Mathematical and Statistical Sciences 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 the department at 303-315-1700.

Graduate Program

Director: Jan Mandel
Telephone: 303-315-1703

The Department of Mathematical and Statistical Sciences offers the MS degrees in Applied Mathematics and Statistics and the PhD degree in Applied Mathematics. Each of these degree programs conforms to the rules and policies of the Graduate School Policies and Procedures .

Detailed descriptions of the requirements for the MS and PhD degrees are maintained at www.math.ucdenver.edu. The following is an abbreviated summary of these requirements.

Requirements for Admission

To begin graduate work toward the MS or PhD degrees in Applied Mathematics, a student should have at least the following preparation: 30 semester hours of mathematics with each course grade at B- or better and an overall GPA of 3.0 or better, at least 24 of which are upper-division courses. These courses should include a full year of advanced calculus or introduction to analysis, one semester of linear algebra and one semester of either differential equations, abstract algebra, discrete mathematics or probability. Additionally, students should take the GRE exam.

To begin graduate work toward the MS in Statistics, a student should have at least the following preparation: a baccalaureate (not necessarily in mathematics or statistics) from an accredited college or university with a grade point average (GPA) of 3.0 or above. Students must have taken three semesters of calculus (through multivariate calculus), linear algebra, and a calculus-based statistics course that covers basic probability and statistical distributions. Admitted students are generally expected to have completed several additional upper-division mathematics courses on top of the minimum requirements, though students from non-mathematics backgrounds who meet minimum requirements and have exceptional track records will be considered on a case-by-case basis. Additionally, students should take the GRE exam.
 

Students who do not have all the prerequisites may be admitted with prerequisite deficiencies with the understanding that those deficiencies must be removed after admission. Students who have a cumulative undergraduate GPA that is less than 3.0 may be eligible for provisional admission to the master’s program (see also the Graduate School  admission requirements).

Application Deadlines

Applications to the MS or PhD programs should be submitted by the following target dates to be guaranteed full consideration. International students should submit their applications one month prior to these target dates. 

Applications received after the target dates may still be considered for admission, depending on space availability.

Financial Support

PhD students are encouraged to apply for teaching assistantships. A variety of other opportunities for financial support are also available. 

Click here  to learn about the requirements for the MS in Applied Mathematics.

Click here  to learn about the requirements for the MS in Applied Statistics.

Click here   to learn about the requirements for the PhD in Applied Mathematics.

Applied Statistics Certificate

Director: Stephanie Santorico
Telephone: 303-315-1714
Website: http://www.ucdenver.edu/academics/colleges/CLAS/Departments/math/graduateprograms/Pages/Graduate-Statistics-Certificate.aspx

Click here  to learn about the requirements for the Graduate Certificate in Applied Statistics.

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