Applied Statistics Graduate Certificate
Graduate School Policies and Procedures apply to this program.
Please click here to see Mathematical and Statistical Sciences department information.
Introduction
Coordinator: Joshua French Ph.D.
Telephone: 303-315-1709
E-mail: Joshua.French@ucdenver.edu
Website: https://clas.ucdenver.edu/mathematical-and-statistical-sciences/graduate-certificate-applied-statistics
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.
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 program advisor and CLAS advisor to confirm the best plans of study before finalizing them.
Certificate Requirements
Students must maintain a 3.0 GPA or above in these courses with no credit given for courses with grades below B-. 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 must be taken in residency at University of Colorado Denver. Students much be enrolled in one course per year to maintain their status in the certificate program.
Certificates must be completed within 3 years from matriculation.
- Students must complete a minimum of 13 MATH credit hours.
- Students must complete a minimum of 13 graduate (5000-level or higher) credit hours.
- Students must earn a minimum grade of B- (2.7) in all courses taken at CU Denver and must achieve a minimum cumulative certificate GPA of 3.0. All graded attempts in required and elective courses are calculated in the program GPA. Students cannot complete program or ancillary course requirements as pass/fail.
- Students must complete all coursework with CU Denver faculty.
Four courses and a 1 hour independent study are required as detailed below.
Fundamental Courses
| Code | Title | Hours |
|---|---|---|
| Take the following | 6 | |
| MATH 5320 | Statistical Inference (Offered: Spring) | 3 |
| MATH 5387 | Applied Regression Analysis (Offered: Fall, Spring, Summer) | 3 |
Advanced Applications
| Code | Title | Hours |
|---|---|---|
| Take one of the following | 3 | |
| Topics vary from year to year. Course must be pre-approved by certificate coordinator and cannot be MATH 5830. Representative courses include: | ||
| MATH 5394 | Experimental Designs | 3 |
| MATH 5792 | Probabilistic Modeling | 3 |
| MATH 6101 | Uncertainty Quantification | 3 |
| MATH 6376 | Statistical Computing | 3 |
| MATH 6380 | Stochastic Processes | 3 |
| MATH 6384 | Spatial Data Analysis | 3 |
| MATH 6388 | Statistical and Machine Learning | 3 |
| MATH 7384 | Mathematical Probability | 3 |
| MATH 7386 | Monte Carlo Methods | 3 |
| MATH 7393 | Bayesian Statistics | 3 |
| MATH 7826 | Topics in Probability and Statistics | 3 |
| An additional course given prior approval by the student's advisor and the Director of Statistical Programs. | ||
Elective
| Code | Title | Hours |
|---|---|---|
| Take one of the following | 3 | |
| Any statistics course in the Department of Mathematical and Statistical Sciences at the 5000 level or higher (must be pre-approved by the Certificate Coordinator). MATH 5830 cannot apply towards the certificate. | ||
| ECON 5150 | Economic Forecasting | 3 |
| ECON 5813 | Econometrics I | 3 |
| ECON 5823 | Econometrics II | 3 |
| ENVS 5600 | Applied Statistics for the Natural Sciences | 3 |
| SOCY 5183 | Seminar: Quantitative Data Analysis | 3 |
Project Requirement
| Code | Title | Hours |
|---|---|---|
| Complete an independent data analysis project with a report and presentation to demonstrate proficiency with data analysis techniques and a statistical computing software package. Enroll for one hour of MATH 5840, Independent Study, or in an equivalent course pre-approved by the Certificate Coordinator. | 1 | |
| MATH 5840 | Independent Study | 1 |
To learn more about the Student Learning Outcomes for this program, please visit our website.