Prerequisite: C- or higher in GBHL200, SPHL100, EPIB301, and EPIB315, or permission of department.
Restriction: 60+ credits.
Explores the impact of data on global health research and practice. Identifies, analyzes and interprets health data on a global scale, and explores the distribution and utilization of data to impact public health outcomes. Topics include machine learning, geospatial analysis, data visualization and data ethics.