Master of Science in Health Data Science
Today, health data is measured in the trillions of gigabytes. It doubles every 75 days. Big data is a term used to describe data sets that are so large and complex, they can’t be managed or analysed using traditional methods.
In health, big data includes the:
- millions of records generated routinely by health services
- real-time clinical data captured at the point-of-care
- genomic and imaging data produced in research and clinical settings
- health-related data generated by the population at large through wearable devices and social media.
The Master of Science in Health Data Science will prepare you to find the right data, unlock hidden insights and use this information to better support clinical care, inform health policy and improve population health. This degree covers the entire pipeline from comprehension of complex health issues through to data wrangling and management, machine learning, data analytics, data modelling and data communication.
Key features
- Industry relevant degree
We designed this program in response to a significant and growing gap in the global health workforce: skilled data scientists who understand the context of health and can apply data analytics to drive health improvement. In this program, you’ll be exposed to real-world problems and learn the latest analytical methodologies to derive solutions.
- Suited to a wide range of backgrounds
This degree is suitable for students who are starting out in the field and those already working within it who want to upskill. Whether you’re a statistician who wants to build on your current skills, a clinician or nurse who wants to improve the quality of care received by your patients, or a keen programmer looking to convert your on-the-job experience into a formal qualification, this program welcomes students from a wide range of backgrounds.
- Flexible delivery
This degree can be completed full-time or part-time, on-campus or fully online. Content is delivered through a combination of online readings, expert guest lectures and practical hands-on tutorials. Lectures are followed by exercises, which reinforce the learning and programming skills covered in the tutorials.
