Introduction
Please click here to see Mathematical and Statistical Sciences department information.
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.
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.
Programs are offered at the undergraduate and graduate level.
Program Delivery
- This is an on-campus program.
Declaring This Certificate
Students interested in completing this certificate should complete this form: CLAS Undergraduate Certificate Intent to Declare Form, which requests that the certificate be added to your student record. Once added, you will be able to run a certificate degree audit. The certificate degree audit should be used in collaboration with the Certificate Advisor to ensure successful completion of the requirements.
Students should then work with Yaning Liu (yaning.liu@ucdenver.edu) – the certificate advisor, to ensure completion of all certificate requirements.
Completing This Certificate
Students must also complete the CLAS Undergraduate Certificate Completion Verification Form, before graduation, in order to confirm completion of their certificate. The certificate advisor will confirm that your certificate has been successfully completed, and will work with campus partners to apply the certificate to your transcript.
Students must fill out the Certificate Completion Form before the deadlines below, to ensure the certificate is applied to your transcript correctly. If you are a non-degree seeking student, please fill out this form in the term in which you intend to complete your certificate.
Spring semester – April 1
Summer semester – July 1
Fall semester – November 1
Admission requirements: Completion of calculus I, II and III as well as linear algebra, each at a B- or above. 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.
These program requirements are subject to periodic revision by the academic department, and the College of Liberal Arts and Sciences reserves the right to make exceptions and substitutions as judged necessary in individual cases. Therefore, the College strongly urges students to consult regularly with their Applied Statistics advisor to confirm the best plans of study before finalizing them.
General Requirements
Students must satisfy all requirements as outlined below and by the department offering the certificate.
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Certificate Requirements
- Students must complete a minimum of 12 credits hours.
- All credits for the certificate must be taken at the upper division level (3000-level and above).
- Students must earn a minimum grade of B-(2.7) in all courses that apply to the certificate and must achieve a minimum cumulative certificate GPA of 3.0. Courses taken using P+/P/F or S/U grading cannot apply to certificate requirements.
- Since a certificate is a University of Colorado Denver certification of a student's specialized knowledge in an advanced subject area, all courses in the certificate program are expected to be taken in residency at the University of Colorado Denver.
Certificate Restrictions, Allowances and Recommendations
- Students must be enrolled in one course per year to maintain their status in the certificate program.
- Certificates must be completed within three years from matriculation.
Course List | Code | Title | Hours |
| Introduction to Probability (recommended) | |
| Probability and Statistics for Engineers |
| Statistical Theory | |
| Applied Regression Analysis | |
1 | |
| Data Analysis with SAS | |
| Economic Forecasting | |
| Introduction to Econometrics | |
| Total Hours | 12 |
To learn more about the Student Learning Outcomes for this program, please visit our website.
