Skip to main content

Compare Health Analytics and Outcomes Programs

Saint Louis University School of Medicine offers five graduate pathways designed to advance healthcare innovation through data science, artificial intelligence, informatics and outcomes research. Whether you prefer to develop algorithms, use statistical modeling or manage health information systems, SLU will position you to make an impact. Use the table below to determine which program best aligns with your background and career goals. 

Which Graduate Program Is Right for Me?

Health Data Science/AI Certificate

  • Core focus: Building targeted, applied skills to quickly upskill or pivot within healthcare, technology or analytics roles
  • Ideal background: Healthcare professionals, analysts, IT specialists, researchers, clinicians, administrators and working professionals seeking focused, short-term credentialing
  • Skills gained: Applied data analysis, healthcare data management, informatics workflows, AI and machine learning foundations, data visualization, ethical and responsible use of data and AI in healthcare settings
  • Career outcomes: Workforce upskilling and preparation for advanced graduate study

Health Data Science, M.S.

  • Core focus: Analyzing and interpreting health data to inform discussions
  • Ideal background: Data analysts, clinicians, researchers, public health professionals
  • Skills gained: Statistical modeling, real-world data analysis, visualization, outcomes research
  • Career outcomes: Health data scientists, biostatistician, analytics lead, research analyst

Health Informatics, M.S.

  • Core focus: Managing and optimizing health information systems
  • Ideal background: Healthcare professionals, IT specialists, analysts, administrators
  • Skills gained: Health information systems, data governance, interoperability, workflow optimization
  • Career outcomes: Informatics analyst, clinical systems manager, data governance lead

Artificial Intelligence in Medicine, M.S.

  • Core focus: Applying AI and machine learning to clinical and healthcare challenges
  • Ideal background: Clinicians, engineers, data scientists, informaticians
  • Skills gained: Machine learning, AI model evaluation, clinical applications, ethical AI
  • Career outcomes: AI specialist, clinical AI analyst, innovation lead, applied ML researcher

Health Outcomes Research, Ph.D.

  • Core focus: Advancing evidence-based healthcare through rigorous evaluation of outcomes, quality, cost and effectiveness
  • Ideal background: Clinicians, researchers, data scientists, health service researchers, policy analysts and professionals with quantitative or research-focused master's or professional degrees
  • Skills gained: Advanced research design, statistical and methodological rigor, real-world evidence generation, outcomes evaluation, health systems analysis, scientific writing, scholarly dissemination
  • Career outcomes: Academic researcher, principal investigator, health outcomes scientist, policy researcher, clinical research leader, industry or government research scientist