Minor in Health Data Analytics
About the Minor
The minor in Health Data Analytics prepares students to apply quantitative methods to a variety of real-world data analysis problems. Through their coursework, students will learn statistical analysis and computational skills necessary to handle complex data problems. Computing, data visualization, and scientific communication skills will be emphasized throughout the required courses, providing students with tools to serve as essential team members in a variety of data-driven research and industry settings.
This minor will be a relevant course of study for students pursuing majors in public health, pre-med, biomedical engineering, biological sciences, health sciences, business analytics, environmental science, and data science, as well as other data-driven scientific fields.
Admissions Requirements
Students are required to declare a major before declaring a minor. Students admitted directly into a specific major at the time of matriculation may declare a minor beginning in their second semester. All requirements for the minor must be completed either concurrently with or prior to the completion of the primary major requirements. This ensures that students fulfill the expectations of their primary field of study while completing any additional areas of academic specialization.
Students cannot pursue a major and a minor in the same field of study.
Minor Requirements
| Required Courses | ||
| IS 1310 | Computing with Data | 3.0 |
| PBHL 2030 | Biostatistics I | 3.0 |
| PBHL 2031 | Biostatistics II | 3.0 |
| Electives | ||
| Select 3.0 credits from the list below: | 3.0 | |
| Introduction to Statistical Computing | ||
| Data Science in R | ||
| Total Credits | 12.0 | |
Additional Information
For more information about this program, please contact the Dornsife School of Public Health