Return to: College of Liberal Arts and Sciences

Chair: Julien Langou
Associate Chair: Stephen Hartke
Program Assistant II: Maria Rase
Administrative Assistant III: 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

Faculty

Professors:

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
Florian Pfender, PhD, Emory University
Stephanie A. Santorico, PhD, North Carolina State University

Associate Professors:

Assistant Professors:

Associate Professors, Clinical Teaching Track:

RaKissa Manzanares, EdD, University of Northern Colorado 
Adam Spiegler, PhD, University of Arizona

Senior Instructors:
Michael Kawai, MS, University of Colorado Denver
Gary Olson, MS, University of Colorado
Robert Rostermundt, PhD, University of Denver

Instructors:

Joe Bilello, MS, Long Island University
Daniel Klie, MS, University of Colorado Denver
Lance Lana, MS, University of Colorado Denver
Dmitriy Ostrovskiy, PhD, State University of New York at Stony Brook
Pamela Whitten, MA, University of Colorado, Boulder

International College of Beijing Faculty:

Ba Nguyen, PhD, Wayne State 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
Andrew Knyazev, PhD, Russian Academy of Sciences
J. Richard Lundgren, PhD, Ohio State University
Stanley E. Payne, PhD, Florida State University

The Department of Mathematical and Statistical Sciences at the University of Colorado Denver offers degrees and certificates at the undergraduate and graduate levels in mathematics, applied mathematics, data science, and statistics through coursework, research and industrial 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, 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, statistics, computing and data science are 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 degrees and certificates also provide 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: https://clas.ucdenver.edu/mathematical-and-statistical-sciences/math-clinic

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

Directors: Stephanie Santorico
Telephone: 303-315-1705

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: Joshua French
Telephone: 303-315-1709
Website: https://clas.ucdenver.edu/mathematical-and-statistical-sciences/graduate-certificate-applied-statistics

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

Return to: College of Liberal Arts and Sciences