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 2025 in Semester 2 at Alfred Hospital. It needs EPM5026, EPM5027, ETC5510, FIT5196, EPM5029, MPH5040, EPM5030, FIT9136, EPM5003 and (ETC5250 or FIT5149).
- Credit points
- 6
- Offered in 2025
- Semester 2
- Alfred Hospital
- Assessment
- No exam
- 5 tasks
This is the 2025 handbook entry. See the 2027 entry.
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Requisites
Before EPM5032
Prerequisites
Pass these before you enrol.
- EPM5026Mathematical foundations for biostatisticsNo reviews yet
- EPM5027Regression modelling for biostatistics 1No reviews yet
- ETC5510Introduction to data analysisNo reviews yet
- FIT5196Data wranglingNo reviews yet
- EPM5029Introduction to health data analyticsNo reviews yet
- MPH5040Introductory epidemiologyNo reviews yet
- EPM5030Human health and disease processes No reviews yet
- FIT9136Introduction to Python programmingNo reviews yet
- EPM5003Principles of statistical inferenceNo 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 2025 handbook.
Enrolment rules
Must be enrolled in course M6036 (Master of Health Data Analytics)
Overview
This unit will involve you working in a small team of three 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 2025
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Alfred Hospital | On campus |
Assessment
- Teamwork project plan - 600 words (Team 100 words, Individual 500 words)WrittenCompetency hurdle10%
- Updated teamwork project plan (Individual - 900 words)Written15%
- Project analysis plan (Individual - 900 words)Written15%
- Case-study report and promotional communication - 2,700 words (Team 800 words, Individual 1,900 wordWritten45%
- Reflection - 900 words (Individual 300 words at 3 assessments)Written15%
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 the health data analytics problems.
- 3
Evaluate and select research methods and techniques of data preparation and analysis appropriate to a particular project, and practice these ethically and professionally.
- 4
Collaborate effectively with other students in devising a strategy for analysis of the health research data, implementing the strategy and producing a report.
- 5
Reflect on your work to describe your learning, how it changes at each stage, and how it might relate to future learning experiences.
- 6
Communicate your analysis findings in a scientific written report and lay interpretation via an infographic.
Workload and teaching
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
- Unit Coordinators
- Dr Joanna Dipnall
- Chief Examiners
- Dr Joanna Dipnall
Common questions
What are the prerequisites for EPM5032?
You need EPM5026, EPM5027, ETC5510, FIT5196, EPM5029, MPH5040, EPM5030, FIT9136, EPM5003 and (ETC5250 or FIT5149) before you enrol. Enrolment rules also apply.
When is EPM5032 offered?
In 2025, EPM5032 runs in Semester 2 at Alfred Hospital.
Does EPM5032 have an exam?
No. EPM5032 has 5 assessment tasks and no exam.