Healthcare Systems and Data Analytics Graduate Certificate

Program Overview

The Graduate Certificate in Healthcare Systems and Data Analytics prepares professionals to lead data-driven transformation across complex healthcare environments. Modern healthcare systems operate at the intersection of technology, operations, policy and human-centered design. This advanced certificate equips students with systems engineering methodologies and applied analytics frameworks to evaluate, optimize, and innovate within healthcare ecosystems. Students develop the ability to model healthcare systems, apply AI-driven analytics, and implement strategic improvements that enhance efficiency, resilience, and patient outcomes. By integrating systems thinking, decision sciences, human factors principles, digital health/smart health/mHealth (mobile health) and computational health informatics graduates are prepared to address the multifaceted challenges facing global health systems. This certificate is available to both on-campus and online students.

Who Should Consider This Certificate?

This certificate is ideal for:

• Engineers and analysts working in healthcare systems

• Healthcare professionals seeking human factors, analytics and systems expertise

• Digital health and health informatics professionals

• Technical managers leading healthcare innovation initiatives

• Graduate students pursuing a stackable credential aligned with healthcare analytics

Educational Objectives

Graduates of this certificate will:

• Apply advanced systems and human factors engineering methodologies to healthcare systems

• Integrate AI and analytics into healthcare decision-making frameworks

• Evaluate healthcare system performance using structured analytical approaches

• Design data-informed solutions that improve operational and clinical outcomes

• Lead system-level improvements within interdisciplinary healthcare environments

Educational Outcomes

Upon completion of the certificate, students will be able to:

• Model and analyze complex healthcare systems using systems thinking frameworks

• Apply data analytics and AI tools within healthcare decision sciences

• Incorporate human factors principles into healthcare system optimization

• Evaluate digital health technologies within integrated system architectures

• Communicate data-driven insights effectively to technical and executive stakeholders