The graduate certificate for Artificial Intelligence in Public Health and Healthcare is intended for graduates seeking to acquire technical knowledge, ethical decision-making and applied skills in artificial intelligence tailored to public health practice and healthcare settings.
Overview
This certificate is designed for current graduate students who are seeking to gain AI knowledge and skills with emphasis on public health and healthcare, addressing cutting edge topics such as causal AI, AI fairness and bias, coding and health data/pipeline visualization.
Eligibility requirements
- Applicants must hold a bachelor’s degree and be eligible to enroll as a graduate-level student at the University of Florida. This includes both current UF graduate students (degree-seeking or non-degree seeking) and individuals seeking admission as non-degree graduate students specifically for the purpose of completing the certificate. Undergraduate students are not eligible.
- Student must have credit for PHC 6000 Epidemiology Research Methods I (3), PHC 6099, PHC 6050C or PHC 6051
Requirements for completion
Core Courses
- PHC 6635 Health, Artificial Intelligence, and Human Values (3 credits; Letter-graded)
- GMS 7858 Causal Artificial Intelligence for Health Research (3 credits; Letter-graded)
And one of the following:
- PHC 7083 Computational Data Science for Epidemiology (3 credits; Letter-graded)
- PHC 6097 Statistical Learning with Applications in Health Sciences (3 credits; Letter-graded)
Elective Courses
Choose one course among the following areas:
Epidemiology:
- PHC 7065: Advanced Skills in Epidemiological Data Management (2 credits; Letter-graded)
Biostatistics
- PHC 6791: Data Visualization in Health Sciences (3 credits; Letter-graded)
- PHC 7068: Biostatistical Computing (3) [this is required by Introduction to Statistical Learning with Applications in Health Sciences]
- PHC 6088: Statistical Analysis of Genetic Data (3 credits; Letter-graded)
- PHC 6937: Statistical and Computational Analysis of Genomic Data (Special Topics) (3 credits; Letter-graded)
Environmental and Global Health
- PHC 7738C: PBPK Modeling in Toxicology and Risk Assessment (Special Topics) (3 credits; Letter-graded)
Health Outcomes and Biomedical Informatics (College of Medicine)
- GMS 6803 Data Science for Clinical Research (3 credits; Letter-graded)
- GMS 6850: Foundations of Biomedical Informatics (3 credits; Letter-graded)
- GMS 6856: Introduction to Biomedical Natural Language Processing (3 credits; Letter-graded)
- GMS 6804: Translational Bioinformatics (3 credits; Letter-graded)
- GMS 6805: Information Modeling in Biomedicine (3 credits; Letter-graded)
Total Required Credits: 12
How to apply
To apply for the Artificial Intelligence in Public Health and Healthcare certificate, please submit the required certificate application.
Questions? Contact us!
If you have any questions about the Artificial Intelligence in Public Health and Healthcare graduate certificate, please contact Malayshia King.