The course involves in-depth research that applies your Graduate Diploma in Health Data Science knowledge to a real-world project. The primary outcome is a practical output, such as a preliminary academic manuscript, an analysis integrated into a larger research initiative, a knitr report designed to facilitate efficient and reproducible reporting, a Shiny web application, or other form of data visualisation. This research is conducted independently, with guidance from academic supervisor(s). The project can either be self-proposed by students through negotiation with supervisor(s) or selected from those proposed by academic supervisor(s).
Your project must use health data and data science analytics and should reflect the type of projects that health data scientists might work on in real-life workplace settings. You are expected to demonstrate your ability to apply knowledge and skills gained in the program through identifying and defining a significant issue, conducting a literature review, designing project methodology and documenting it in a data management plan, analysing, interpreting, and discussing the information, drawing conclusions; and writing a report or a technical specification document in a manner consistent with academic standards at a postgraduate level.
This course is available for MSc and MSc(Ext) students who have completed the courses of the Graduate Diploma of Health Data Science (5372) or have been granted an exemption for courses by the MSc program authority.
The entire dissertation is 24 Units of Credit, which equates to a total of 600 study hours. For each term, you can complete your project using a combination of dissertation courses HDAT9900 (6 Units of Credit), HDAT9901 (12 Units of Credit) or HDAT9902 (18 Units of Credit) to a total of 24 Units of Credit over two, three or four terms of study.
