Epidemiology, Biostatistics, and Data Analysis

3 credits

This course introduces students to the core principles and methods of epidemiology, biostatistics, and applied data analysis as they are used in modern health analytics. Students will examine how health-related data are generated, structured, analyzed, and interpreted to inform evidence-based decision-making in public health, clinical settings, and health systems. Emphasis is placed on understanding disease distribution and determinants, designing and evaluating studies, applying statistical reasoning to real-world health data, and translating analytic results into meaningful insights for policy and practice. Throughout the course, students will work with real and simulated datasets to develop practical skills in data exploration, statistical modeling, and critical interpretation, while also engaging with issues of bias, uncertainty, ethics, and reproducibility that shape health analytics in practice.