Graduate Certificate in Digital Health and Data Science
Reasons to Choose
Bridge health and data
Gain essential data science skills tailored for healthcare professionals—so you can analyse clinical data, support evidence-based decisions, and drive digital innovation.
Build real-world capability
By working on actual health-industry case projects, you graduate with both the hard and soft skills to improve health outcomes through data.
Flexible, career-driven learning
Part-time structure allows you to study while working. Graduating with a recognized credential opens pathways to more advanced programs or leadership roles in digital health.
About this Program
A one-year part-time postgraduate certificate (24 credit points) designed to integrate healthcare and data science.
Core units cover:
Fundamentals of digital health systems and clinical data analytics
Health data management and visualisation
Ethical, legal, and social aspects of digital health
Machine learning and predictive modelling applied to health data
Includes practical workshops and a mini capstone project where you apply data science tools to real-world health scenarios.
Scientifically supervised and delivered by experts in digital health, epidemiology, biostatistics, and computational health research.
What You'll Achieve
A solid foundation in managing and analysing health data—from electronic records to public health datasets.
Hands-on skills in programming, statistical modelling, machine learning, and data visualisation (using tools like Python/R).
Understanding of key considerations in digital health: ethics, privacy, regulation, and clinical relevance.
Practical experience through workplace-based case projects, enabling immediate application in clinical or policy settings.
A qualification suited to healthcare professionals, data specialists, or anyone bridging technology and health sectors.
Skills Developed
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