Applied Research in Health Data Science

Health data science is a rapidly growing research field across academia, government, and industry. It relates to the application of statistical and machine learning approaches to analyse large complex medical datasets including electronic medical records, radiological imaging, physiological sensor data, and longitudinal databases. This course combines an overview of these key types of medical data, hands-on introduction to their principal analysis methods, and training in how to apply them in interdisciplinary research contexts. Using a combination of lectures, R-based exercises, student-driven tutorials, and collaborative development of a research proposal, students will gain the skills necessary to plan and conduct effective health data science research.