Applied Statistical Modeling Certificate
This certificate equips undergraduate students with the tools necessary to understand how to apply statistics to their primary field of study. This certificate program is designed to complement diverse degree programs and to appeal to students across the University in engineering, science, economics, mathematics, and many other disciplines.
Admission
Admission to the certificate is by application only. Students may download an application from the Department of Statistics and Data Science webpage.
Total Hours Required: 18
Requirements
Requirements are listed in the table below. Additional requirements may follow the table, so be sure to read the entire page. Some required courses listed below may also satisfy General Education requirements, including Core Curriculum. Students should also review the University's Undergraduate Minor and Certificate Requirements and Policies.
| Code | Title | Hours |
|---|---|---|
| Mathematical Foundation of Statistics | ||
| Hours chosen from: | 3 | |
| Engineering Probability and Statistics | ||
| Probability and Random Processes | ||
| Probability I | ||
| Introduction to Probability and Statistics | ||
| Sequence in Applied Statistics | ||
| Hours chosen from: | 3 | |
| Economic Statistics | ||
| Introduction to Statistics | ||
| Statistical Analysis in Political Science | ||
| Applied Statistics | ||
| Psychological Methods and Statistics | ||
| Introduction to Social Statistics | ||
| Foundations of Data Analysis | ||
| Elements of Statistics | ||
| Elements of Statistics: Honors | ||
| Introduction to Data Science | ||
| Introduction to Data Science: Honors | ||
| Hours chosen from: | 3 | |
| Data Science Principles | ||
| Introduction to Econometrics | ||
| Applied Regression and Time Series | ||
| Advanced Statistics | ||
| Elements of Data Science | ||
| Elements of Statistical Machine Learning | ||
| Elements of Regression Analysis | ||
| Electives | ||
| Hours chosen from: | 9 | |
| Advertising and Public Relations Research | ||
| Neural Networks | ||
| Artificial Intelligence | ||
| Principles of Machine Learning I | ||
| Information Retrieval and Web Search | ||
| Communication Research Methods | ||
| Introductory Game Theory | ||
| Advanced Topics in Econometrics | ||
| Advanced Econometrics | ||
| Empirical Public Economics | ||
| Computational Methods | ||
| Seismic Data Processing | ||
| Foundations of Epidemiology | ||
| Evaluation and Research Design | ||
| Measurement in Kinesiology | ||
| Computational Semantics | ||
| Probability Models with Actuarial Applications | ||
| Actuarial Statistical Estimates | ||
| Introduction to Stochastic Processes | ||
| Introduction to Mathematical Statistics | ||
or SDS 378 | Introduction to Mathematical Statistics | |
| Decision Analytics | ||
or SDS 378P | Decision Analytics | |
| Advanced Analytics Programming | ||
| Predictive Analytics and Data Mining | ||
| Epidemiology I | ||
| Applied Reservoir Characterization | ||
| Elements of Data Science | ||
| Elements of Regression Analysis | ||
| Elements of Statistical Machine Learning | ||
| Special Topics in Scientific Computation | ||
| Undergraduate Research | ||
| Time Series Forecasting | ||
| Data Science for Business Applications | ||
| Data Science for Business Applications: Honors | ||
Students are encouraged to select courses within their own majors or colleges as appropriate. The Statistics and Data Sciences courses listed are available to students in all majors. | ||
| College Requirements - Natural Sciences | ||
| Undergraduate Minor and Certificate Requirements and Policies | ||
| Total Hours | 18 | |
Additional Requirements and Policy
- SDS 322E, SDS 326E, and SDS 324E may only be counted toward one requirement each.
- Students seeking the certificate must also complete the prerequisite course M 408C, M 408L, M 408N, M 408R, or M 408S with a grade of at least C-.
- Students must receive a grade of at least C in each course applied toward the certificate and have a cumulative grade point average of at least 3.0 in the courses presented to fulfill the certificate.
- Courses that appear in multiple approved course lists may be used to satisfy only one requirement.
- Students must contact the Department of Statistics and Data Sciences in the semester in which they are completing the requirements and graduating.