Program Details
Next Start Date: August 17
Credit Hours: 9
Course Length: 12-16 weeks
Estimated Program Length: 9 months
Explore the intersection of data science, informatics and emerging technologies with the University of West Florida's online AI and Analytics in Public Health and Health Systems Undergraduate Certificate.
Why Study AI and Analytics in Public Health and Health Systems at UWF?
The UWF AI and Analytics in Public Health and Health Systems Undergraduate Certificate equips students with foundational and applied skills across analytics, information systems and innovative technologies. Through coursework in health data analysis, health information systems and bioinformatics, students will learn to manage, analyze and interpret complex health data while exploring applications of artificial intelligence in public health and health system decision-making.
Courses are taught by expert faculty who instruct students on how to apply and evaluate analytic methods and AI tools to real-world public health and healthcare systems data, emphasizing sound project management and adherence to ethical standards of data integrity, privacy and responsible technology use. Students will have the opportunity to identify data sets and apply data visualizations strategies to research questions aligned to their career interests.
What You Will Learn
Certificate courses ensure students understand where data comes from, how to strategically communicate data insights and how to use AI to drive precision initiatives that improve patient outcomes, population health and system-wide efficiency.
By completing this certificate, you will be able to:
- Utilize industry-standard data visualization and management tools—including Google Apps, Excel 3-D Maps, Access databases and SPSS—to transform complex information into clear, life-saving strategies
- Design, deploy and evaluate data visualizations and epidemiological simulations to respond to disease outbreaks and evaluate the success of community health programs
- Strategize the life cycle of health data, from disparate datasets to electronic health records (EHRs) that maintain data interoperability and optimize system-wide patient care
- Synthesize complex biological and clinical data through AI-enhanced visualization and analytical workflows to contribute to precision health initiatives and enhance the accuracy of evidence-based decision-making



