There is a growing need for qualified statistical analysts of the ever-increasing amounts of data collected in business, industry, and government. The undergraduate certificates in Applied Statistics 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.
Students will gain competence in such topics as descriptive statistics, estimation, confidence intervals, probability and inferential techniques, simple and multiple regression, analysis of variance, and more-advanced topics. Students can focus on a particular application area such as economics, psychology, sociology, geology, or environmental science through the choice of an elective course and the data analysis project
Admission Requirements
All undergraduate students in good standing (including non-degree seeking students) will be admitted to the program. For students in the College of Liberal Arts and Sciences, this requires a cumulative grade point average of 2.0 or above. Students must also have some mathematical background, including completion of calculus 1, 2 and 3, as well as linear algebra with a grade of B- (3.0) or better. Students enrolled in the certificate program will be expected to utilize concepts from calculus and linear algebra without the use of technology, e.g., evaluation of limits, derivatives, and integrals
Learning Outcomes
Students completing this certificate will have essential competencies in several areas related to analysis of data:
1. Understand probability and statistics in order to quantify uncertainty
2. Build complex models for finding patterns and explaining data
3. Communicate statistical findings both orally and in writing
Degree Requirements:
The certificate requires 12 credits of coursework split across 4 courses:
One course in probability (3 credit hours) from:
It is strongly advised that MATH 3810 be taken rather than MATH 3800.
Two fundamental statistics courses (6 credit hours):
One additional elective (3 credit hours) from:
For more information:
Dr. Yaning Liu
Director of Statistical Programs
yaning.liu@ucdenver.edu