Graduate Certificate in Applied Artificial Intelligence in Population Health Outcomes

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This innovative graduate certificate program integrates cutting-edge artificial intelligence technologies. Students learn to analyze complex health data, build predictive models, and design intelligent systems that support evidence-based decision-making for communities and populations, including the responsible deployment of AI systems in real-world public health settings.

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Taking LOCAL Impact to GLOBAL Change

The program introduces advanced analytical methods while emphasizing the practical application of AI-driven tools in public health contexts. Learners explore how intelligent systems can improve decision-making, optimize resource allocation, and generate actionable insights across a range of population health domains.

Students develop in-demand skills in data analytics, predictive modeling, and AI-supported public health decision-making. Coursework also includes generative-AI assisted programing for machine learning (e.g., developing and refining code in R or Python) and designing interactive dashboards that deliver real-time health insights, preparing graduates to work effectively with modern data and technology in professional settings.

This program connects learners to interdisciplinary perspectives across public health, data science, and artificial intelligence. Students gain experience with tools and approaches used in government agencies, healthcare organizations, research institutions, and health-focused technology environments, including emerging AI platforms and digital health technologies used in practice.

Graduates are prepared for roles that require advanced analytical and AI-enabled public health skills—competencies that are increasingly in demand across the public and private sectors. Credits earned in this certificate may also be applied toward a master’s degree in public health at the University of Memphis School of Public Health, offering a pathway for continued academic and professional advancement.

15 Credit Hours