MonMap
A course mapper by Monash Association of Coding (MAC)
Applied health data analytics group case study
EPM5032
Synopsis
In this unit you will work in a small team of three to four students to gain practical experience in health data analytics arising in an academic health research environment or industry. Your team will be provided with a set of research questions from which one question will be allocated per team member. You will work on answering your research question by applying the health data analytics process (visualisation, analysis, algorithms, etc.). You will work closely together as a team using the project health research data to produce a team research report and infographic for each research question. You will be asked to reflect on your own learning as the team work progresses.
There are no lectures in this unit, although you will be expected to attend regular meetings with your team and tutor.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 5
- Audience
- Postgraduate
- Type
- Coursework
- School
- Faculty of Medicine, Nursing and Health Sciences
- Faculty
- Department of Epidemiology and Preventive Medicine
- Handbook year
- 2026
Prerequisites (11)
- Principles of statistical inferenceEPM5003
- Mathematical foundations for biostatisticsEPM5026
- Regression modelling for biostatistics 1EPM5027
- Introduction to health data analyticsEPM5029
- Human health and disease processes EPM5030
- Introduction to machine learningETC5250
- Introduction to data analysisETC5510
- Applied data analysisFIT5149
- Data wranglingFIT5196
- Introduction to Python programmingFIT9136
- Introductory epidemiologyMPH5040
What it unlocks
Nothing in the visible graph depends on this unit.
Offerings (1)
- Second semesterAlfred Hospital · ON-CAMPUS