Chair: Jan Mandel
Associate Chair: Stephen Billups
Program Assistant: Margie Bopp
Administrative Assistant: Mikaela Hanson
Office: CU-Denver Building, 600
Michael S. Jacobson, PhD, Emory University
Weldon A. Lodwick, PhD, Oregon State University
Jan Mandel, PhD (equivalent), Charles University (Czechoslovakia)
Lynn Bennethum, PhD, Purdue University
Stephen Billups, PhD, University of Wisconsin-Madison
Roxanne M. Byrne, PhD, University of Colorado
Michael Ferrara, PhD, Emory University
Julien Langou, PhD, INSA, Toulouse, France
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
Troy Butler, PhD, Colorado State University
Alexander Engau, PhD, Clemson University
Joshua French, PhD, Colorado State University
Audrey Hendricks, PhD, Boston University
Florian Pfender, PhD, Emory University
Diana White, PhD, University of Nebraska
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
Gary Olson, MS, University of Colorado
Loren Cobb, PhD, Cornell University
Sogol Jahanbekam, PhD, University of Illinois Urbana-Champaign
Henricus Bouwmeester, PhD, University of Colorado Denver
Michael McCourt, PhD, Cornell 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 and Statistical Sciences offers courses and research opportunities with an emphasis on applied and computational mathematics. 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.
The study of mathematics with an emphasis on computers and applications can prepare students for careers in engineering, the sciences, business and management, actuarial science, public health and all computer-dependent disciplines.
Center for Computational & Mathematical Biology
Director: Weldon Lodwick
The Center for Computational Biology (CCB) is a multidisciplinary center focused on computational and mathematical biology research and education.
Center for Computational Mathematics
Director: Julien Langou
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: Julien Langou
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, actuarial science and mathematics education. (Required courses for each option are outlined on the Requirements for Math Majors .)
Selecting a First Mathematics Course (Mathematics Majors)
The following table is a guide for mathematics majors selecting a first mathematics course:
Students planning to take MATH 1401 must take a prerequisite exam. For more information, go to www.math.ucdenver.edu and click on Taking a Placement or Prerequisite exam. We have advisory exams for 1070, 1110, 1120, and 1130 that are listed under “Course Information,” “1000 & 2000 Level Courses - Placement and Prerequisites.” Students with transfer or advanced placement credit should see an academic advisor in the Department of Mathematical and Statistical Sciences.
The BS in mathematics requires a minimum of 48 semester hours in mathematics with an average GPA of C (2.25) and with a grade of at least C- in each course. At least 36 semester hours must be in upper-division courses (3000 level or above), excluding MATH 3040, 3511, 4012, 4013, 4014, 4015 and 4830. To graduate, a mathematics major must have a minimum of 15 upper-division mathematics credits taken at CU Denver.
Students must declare a major in the CLAS Advising Office by the time they have completed 60 semester hours. At this time, they will also be assigned a mathematics advisor in the Department of Mathematical and Statistical Sciences, whom they should consult at least once a semester. All mathematics majors should visit the CLAS Advising Office to have graduation requirements checked.
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.