Health data science is a rapidly emerging discipline with the potential to transform public health and healthcare delivery worldwide. This 12-week module, Introduction to Health Data Science, offers an essential foundation for understanding how data can inform evidence-based decisions and improve healthcare systems. You will explore the healthcare and research landscape, the types of data used, and the research questions that drive innovation in the field.
Through engaging lectures, guest speaker seminars, and interactive discussion groups, you will gain insights into real-world challenges and solutions in health data science. Topics include study design, governance and privacy, routine health data, and the critical role of public and stakeholder engagement. A strong emphasis is placed on team science, with students developing key communication, critical thinking, and appraisal skills to prepare for interdisciplinary collaboration.
The module assessments are designed to mirror real-world practice and provide valuable, hands-on experience. In the first assessment (70% of the final grade), you will critically evaluate a published research article that uses routinely collected health data, sharpening your analytical skills and understanding of evidence-based research. For the second assessment (30%), you will step into the role of a science communicator by interviewing a health data scientist and crafting an engaging, accessible summary for a non-specialist audience, developing both teamwork and the ability to translate complex ideas into clear, impactful messages.
Designed with active learning at its core, this module is perfect for students interested in the intersection of healthcare, data, and technology. Whether you are aiming for a career in data science, public health, or medical research, this module provides the knowledge, skills, and experience to contribute meaningfully to the future of healthcare.