Handbook

The learning from the Graduate Diploma (5372) scaffolds to this six unit of credit ‘desk-based’ research, capstone project.  The overarching aim is to facilitate the bigger picture of Health Data Science (HDS); the student experiences the HDS pipeline from start-to-end.  Thus, the student is presented with the opportunity to bring all the content of the Graduate Diploma together, realising the relative ordering and merits of each stage.  This capstone has the advantage of allowing a further 18 units of credit of broadening electives to be undertaken.

The capstone project involves completing extensive, desk-based, independent research tasks, requiring the use of the R and/or Python programming languages.  An entire HDS project has been constructed and sliced into the respective stages of the HDS pipeline.  At each stage, the student has the option of completing minor or major tasks to progress to the next stage.  For example, at the ‘Curation’ stage, a minor task might be a short-written report (circa 1,000 words) identifying the issues to be addressed.  A major task would involve preparation of a data management plan (DMP; circa 3,000 words).  Each task will be assigned a point score based on its complexity, proportional to the expected (notional) time required to complete the task.  To complete the course, will require successful completion of three minor and two major tasks.

Students are required to complete Graduate Diploma in Health Data Science (5372) to a satisfactory standing to be admitted onto this course.