Key features
- Equip applicants from many undergraduate disciplines to gain specialisations in health data analytics, one of the fastest growing scientific areas in the world.
- Develop research skills and mastery of advanced health data research through an individual project supervised by world-leading subject experts.
- Establish proficiency in the use and application of state-of-the-art programming languages, such as R and Python, with additional instruction in SQL and NoSQL.
- Benefit from easy access to cutting-edge specialist computing facilities and next-generation software and hardware. You may access facilities such as our NVIDIA seed-funded GPU Research Centre and our Lovelace System High Performance Computing facility.
- Access our new engineering and design facility . Students in engineering, science and the arts have access to a range of specialist equipment and innovative laboratories.
- Master statistical principles, and how to apply the resulting methods to solve practical problems related to the collection, analyses and interpretations of medical data.
- Core modules in medical data analytics, computing, and health studies, with flexible choices in data science, artificial intelligence and health studies.
- Gain modern analytics expertise for obtaining healthcare insights from medical studies, including clinical trials, cohort studies and electronic health records.
- Enjoy research-led teaching from statisticians and data scientists from the Centre for Mathematical Sciences , e-health experts from the Centre for Health Technology , clinicians and epidemiologists from Faculty of Health , applied health research scientists from the School of Health Professions , medical statisticians from Peninsula Clinical Trials Unit (PenCTU) , artificial intelligence specialists from Nanotechnology and Electronics Research Group , as well as computer scientists from Centre for Cyber Security, Communications and Network Research (CSCAN) .
- We offer a range of general and merit-based postgraduate scholarships for local and international students.
