EPM5032 Applied health data analytics group case study
Faculty of Medicine, Nursing and Health Sciences
EPM5032 Applied health data analytics group case study is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences, offered in 2026 in Semester 2 at Alfred Hospital. It needs EPM5029, FIT9136, EPM5026, ETC5510, MPH5040, EPM5003, EPM5027, FIT5196, EPM5030 and (FIT5149 or ETC5250).
- Credit points
- 6
- Offered in 2026
- Semester 2
- Alfred Hospital
- Assessment
- No exam
- 5 tasks
This is the 2026 handbook entry. See the 2027 entry.
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Requisites
Before EPM5032
Prerequisites
Pass these before you enrol.
- EPM5029Introduction to health data analyticsNo reviews yet
- FIT9136Introduction to Python programmingNo reviews yet
- EPM5026Mathematical foundations for biostatisticsNo reviews yet
- ETC5510Introduction to data analysisNo reviews yet
- MPH5040Introductory epidemiologyNo reviews yet
- EPM5003Principles of statistical inferenceNo reviews yet
- EPM5027Regression modelling for biostatistics 1No reviews yet
- FIT5196Data wranglingNo reviews yet
- EPM5030Human health and disease processes No reviews yet
Prohibitions
You can't enrol if you have passed any of these.
After EPM5032
No unit lists EPM5032 as a prerequisite in the 2026 handbook.
Enrolment rules
Must be enrolled in course M6036 (Master of Health Data Analytics)
Overview
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.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Alfred Hospital | On campus |
Assessment
- Teamwork project plan (600 words)WrittenCompetency hurdle10%
- Updated teamwork project plan (900 words)Written15%
- Project analysis plan (900 words)Written15%
- Case-study report and presentation (2,700 words)Project45%
- Reflection (900 words)Written15%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Elucidate strategies for answering research questions and associated health data analytical issues from a health or medical research dataset.
- 2
Search, access and analyse research literature as part of the process of developing solutions to health data analytics problems.
- 3
Evaluate and select research methods and techniques of data preparation and analysis appropriate to a given project, and practice these ethically and professionally.
- 4
Collaborate effectively with peers in devising a strategy for analysis of the health research data, implementing the strategy and producing a report.
- 5
Reflect on your learning, how it changes at each stage, and how it might relate to future learning experiences.
- 6
Harmonise team analysis findings into a scientific written report, and a presentation appropriate to a general audience
- 7
Critically assess and effectively use artificial intelligence (AI) tools responsibly, with transparency and specific to health data analytics
Workload and teaching
- Tutorials-
Twelve hours per week, consisting of (on average)
- 3 hours per week for reading relevant material
- 8 hours per week working on the health data analytics (i.e. data wrangling, analysis, report writing)
- 1-hour face-to-face meeting with team and tutor
No residential component is required.
Contacts
- Chief Examiners
- Dr Joanna Dipnall
- Unit Coordinators
- Dr Joanna Dipnall
Common questions
What are the prerequisites for EPM5032?
You need EPM5029, FIT9136, EPM5026, ETC5510, MPH5040, EPM5003, EPM5027, FIT5196, EPM5030 and (FIT5149 or ETC5250) before you enrol. Enrolment rules also apply.
When is EPM5032 offered?
In 2026, EPM5032 runs in Semester 2 at Alfred Hospital.
Does EPM5032 have an exam?
No. EPM5032 has 5 assessment tasks and no exam.