This module provides a foundational understanding of how data science and artificial intelligence are used to generate evidence, support innovation, and improve healthcare and public health. This 12-week module introduces students to the health research landscape, exploring how data-driven approaches are applied in real-world settings and the opportunities and challenges that shape their use in health research and practice.
Students will critically evaluate current issues related to the application of data science and AI in healthcare, including ethical, legal, and regulatory considerations such as data governance, privacy, and responsible innovation. Through lectures, guest speaker seminars, and interactive discussions, the module highlights the complexities of translating data-driven research into meaningful health impact.
A core component of the module focuses on health research methodology. Students will explore and critically evaluate different types of research study designs commonly used in health research, developing the skills needed to assess the strengths, limitations, and applicability of published studies using routinely collected health data.
The module also introduces the health research enterprise as a collaborative, multidisciplinary endeavour. Students will identify and examine the roles and responsibilities of key contributors, including data scientists, clinicians, researchers, patients, and public stakeholders, and reflect on how effective teamwork underpins successful health innovation research. Communication, critical thinking, and team-based working are embedded throughout.
Assessment is designed to reflect real-world research and professional practice. The first assessment (30%) involves interviewing a health data scientist and producing an accessible summary for a non-specialist audience, supporting understanding of professional roles and knowledge translation. The second assessment (70%) requires critical evaluation of a published health research study using routine data, strengthening analytical and appraisal skills.
This module is ideal for students interested in the intersection of healthcare, data science, and innovation research.