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)
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
Florian Pfender, PhD, Emory University
Stephanie A. Santorico, PhD, North Carolina State University
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
Burton Simon, PhD, University of Michigan, Ann Arbor
Diana White, PhD, University of Nebraska
Erin Austin, PhD, University of Minnesota
Audrey Hendricks, PhD, Boston University
Yaning Liu, PhD, Florida State University
Emily Speakman, PhD, University of Michigan
Associate Professors, Clinical Teaching Track:
RaKissa Manzanares, PhD, University of Northern Colorado
Adam Spiegler, PhD, University of Arizona
Michael Kawai, MS, University of Colorado Denver
Gary Olson, MS, University of Colorado Denver
Robert Rostermundt, PhD, University of Colorado Denver
Joe Billello, 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 Brooko
Pamela Whitten, MA, University of Colorado Boulder
International College of Beijing Faculty:
Ba Nguyen, PhD, Wayne State University
Aime Fournier, PhD, Yale University
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
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
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
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.
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.
Co-Directors: Diana White and Adam Spiegler
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 four areas of special emphasis, or simply satisfying the requirements without specifying an area. The four areas of emphasis are: applied mathematics, probability and statistics, data science, 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 BS, Data Science Option.
Click here to learn about the requirements for the Mathematics Minor.
Click here to learn about the requirements for the Mathematics Data Science Minor.
Click here to learn about the requirements for the Mathematics Data Science Undergraduate Certificate.
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 at the cum laude level a student must graduate with an overall GPA of 3.2 or better for the last 60 credit hours taken at University of Colorado Denver and either:
- Option 1: Have a GPA of 3.7 or better in upper-division math courses taken at CU Denver, OR
- Option 2: Have a GPA of 3.5 or better in upper-division math courses taken at CU Denver and must complete an honors project.
To be eligible for graduation with honors at the magna cum laude level a student must graduate with an overall GPA of 3.2 or better for the last 60 credit hours taken at University of Colorado Denver and either:
- Option 1: Have a GPA of 3.85 or better in upper-division math courses taken at CU Denver, OR
- Option 2: Have a GPA of 3.7 or better in upper-division math courses taken at CU Denver and must complete an honors project.
To be eligible for graduation with honors at the summa cum laude level a student must graduate with an overall GPA of 3.2 or better for the last 60 credit hours taken at University of Colorado Denver and satisfy ALL of the following:
- Have a GPA of 3.7 or better in upper-division math courses taken at CU Denver and must complete an honors project.
- When a recommendation for Honors at the Summa Cum Laude is brought to Department as a motion, a vote will be taken and such a motion must be passed by a two-thirds majority of those voting at the meeting.
- Considerations such as overall quality of the candidate’s honors project, outreach, community, other extra-curricular activities relating to mathematics.
Undergraduate Applied Statistics Certificate
Director: Joshua French
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.
Undergraduate Certificate in Data Science Essentials
Director: Adam Spiegler
Data scientists will have essential competencies in several areas related to analysis of data. In particular, a data scientist should: have strong programming ability in a language popular in data science (e.g., Python, R, Julia); be able to extract, manipulate, and visualize data; have an understanding of probability and statistics in order to quantify uncertainty; be able to build complex models for finding patterns and explaining data. This certificate should provide students with essential skills for introductory data science.
Click here to learn about the Undergraduate Certificate in Data Science Essentials
Please go to the Graduate catalog to read about our graduate programs.