A 10-course graduate program designed to develop strategic healthcare leaders with expertise in health systems, informatics, operations, leadership, and evidence-based management.
10
Courses
48
Credit Hours
M.S.
Degree
This course provides an in-depth examination of healthcare systems, public policy, and regulatory frameworks that shape healthcare delivery and management. Students explore the structure, financing, and organization of healthcare services in the United States and globally, as well as the policy-making process that influences access, quality, and cost. Emphasis is placed on the use of data analytics and evidence-based approaches to evaluate policy outcomes and guide organizational decision-making.
This course introduces students to the use of data analytics and visualization tools in healthcare management. Students will explore data collection, cleaning, and analysis methods for healthcare data, applying visualization software and programming tools to interpret complex information. The course emphasizes using analytics for evidence-based decision-making and strategic planning in healthcare organizations.
This course provides an analytical approach to financial management within healthcare organizations. Students will apply quantitative tools and methods for budgeting, forecasting, cost analysis, and performance evaluation. Emphasis is placed on financial decision-making using data analytics, capital planning, and the interpretation of financial statements to support operational and strategic goals.
This course explores the role of health informatics and digital transformation in modern healthcare organizations. Students will analyze electronic health records (EHRs), interoperability standards, and digital health tools such as telemedicine, AI, and mobile health applications. The course emphasizes systems integration, data governance, and strategies for leveraging technology to enhance patient outcomes and organizational efficiency.
This course introduces students to operations research (OR) and quality improvement (QI) methodologies applied to healthcare management. Students will learn to model healthcare operations, optimize resource allocation, and apply Lean Six Sigma principles to enhance efficiency and quality of care. Through hands-on projects, students will use analytical tools to evaluate and improve organizational performance, focusing on quantitative and data-driven decision-making.
This course focuses on ethical leadership and strategic management principles within healthcare organizations. Students will explore frameworks for ethical decision-making, organizational strategy, and governance while examining how leadership impacts quality, equity, and innovation in healthcare delivery. Through case studies and applied projects, learners will develop the ability to lead diverse teams and align organizational strategies with ethical and regulatory standards.
This course examines the strategic management of healthcare technology and innovation. Students will explore frameworks for evaluating, adopting, and managing new technologies including artificial intelligence, telehealth, wearable devices, and healthcare automation systems. Emphasis is placed on the integration of technology into clinical workflows, regulatory compliance, and the impact of innovation on healthcare quality and patient outcomes.
This course introduces students to research design, methodology, and statistical analysis within healthcare management contexts. Students will explore quantitative, qualitative, and mixed-methods research approaches used to inform evidence-based decision-making in healthcare organizations. Emphasis is placed on developing research proposals, conducting data analysis using statistical tools, and applying research findings to improve healthcare delivery and policy.
This elective course allows students to specialize in an area of professional interest within the healthcare management field. Students may select from three focus areas: Predictive Analytics, Health Economics, or Global Health Policy. Each track emphasizes applied learning and integration of STEM-based analytical methods, management practices, and policy frameworks relevant to modern healthcare challenges.
The Capstone Project in Healthcare Management provides students with an opportunity to synthesize and apply theoretical and practical knowledge acquired throughout the Master of Healthcare Management program. Working individually or in small teams, students will address a real-world healthcare management challenge through data-driven analysis, strategic planning, and implementation design. Projects will integrate STEM-based methodologies, including analytics, operations research, and informatics, to develop evidence-based solutions that enhance organizational effectiveness and patient outcomes.
Applications for the M.S. in Healthcare Management are now open. Take the next step toward transforming healthcare delivery.
