Mathematical and Statistical Sciences

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

Faculty

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

Associate Professors:
Stephen Billups, PhD, University of Wisconsin-Madison

Steffen Borgwardt, PhD, Technische Universität München

Troy Butler, PhD, Colorado State University

Joshua French, PhD, Colorado State University
Stephen Hartke, PhD, Rutgers University
Florian Pfender, PhD, Emory University
Burton Simon, PhD, University of Michigan, Ann Arbor
Diana White, PhD, University of Nebraska

Assistant Professors:
Erin Austin, PhD, University of Minnesota
Varis Carey, PhD, Cornell University
Audrey Hendricks, PhD, Boston University
Yaning Liu, PhD, Florida State University

Emily Speakman, PhD, University of Michigan

Associate Professor, Clinical Teaching Track:
RaKissaManzanares, EdD, University of Northern Colorado
Adam Spiegler, PhD, University of Arizona

Assistant Professor, Clinical Teaching Track:
Jose Mijares Palacios, PhD, Universidad Central de Venezuela

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

Instructors:
Michael Kawai, MS, University of Colorado, Denver
Joe Billello, MS, Long Island University
Lance Lana, MS, University of Colorado
Dmitriy Ostrovskiy, PhD, State University of New York at Stony Brooko
Pamela Whitten, MA, University of Colorado, Boulder

International College of Beijing Faculty:
Andrew Loveridge, PhD, University of Wisconsin-Madison
Todd Tichenor, PhD, Mathematics, West Virginia 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
J. Richard Lundgren, PhD, Ohio State University
Andrew Knyazev, PhD, Russian Academy of Sciences
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 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

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 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 the department at 303-315-1700.

Undergraduate Information

Director: Diana White
Telephone: 303-315-1720

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.

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 BS.

Click here to learn about the requirements for the Mathematics BS, Applied Mathematics Option.

Click here to learn about the requirements for the Mathematics BS, Probability and Statistics Option.

Click here to learn about the requirements for the Mathematics Minor.

Click here to learn about the requirements for the Dual Degree: Mathematics BS/Economics BA.

Click here to learn about the requirements for the 5 year BS in Mathematics/MS in Applied Statistics.

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
Telephone: 303-315-1714

There is a growing need for qualified statistical analysts of the ever-increasing amounts of data collected in business, industry, and government. The certificate in applied statistics program is designed to give students a strong background in statistical methodology and data analysis in preparation for opportunities in the workforce 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.

Graduate Information

Please go to the Graduate catalog to read about our graduate programs.