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UofM Global

Graduate Certificate of Applied Artificial Intelligence in Population Health Outcomes

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Develop skills in health data analysis, predictive modeling, AI, and interactive dashboards to support evidence-based public health decisions. The program can be completed full-time in two semesters or part-time, on-campus or online. Credits may be applied toward a master’s degree in public health at the University of Memphis.

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.

Credit Hours: 15

  • PUBH 7180 | Foundations of Public Health (0 credit hours)
  • PUBH 7152 | Biostatistical Modeling and Applications
  • PUBH 7172 | Epidemiological Methods and Applications
  • PUBH 7474 | Community and Population Health Dashboards
  • PUBH 7652 | Large Language Models in Public Health
  • PUBH 7627 | AI Predictive Modeling of Health Outcomes

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Requirements for the Certificate in Applied AI in Population Health Outcomes inlcudes

  • Completed SOPHAS application
  • Undergraduate degree, minimum 3.0 GPA
  • Curriculum Vitae/Resume
  • Statement of Purpose (400-500 words)
  • Credentials evaluation for foreign transcripts
  • Language proficiency test if language of
    instruction was not English

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