EPM5031 Health data analytics project
Faculty of Medicine, Nursing and Health Sciences
EPM5031 Health data analytics project is a level 5, 6-credit-point, postgraduate unit from the Faculty of Medicine, Nursing and Health Sciences. It isn't offered in 2023. It has no prerequisites.
- Credit points
- 6
- Offered in 2023
- Not offered
- Assessment
- No exam
- 3 tasks
This is the 2023 handbook entry. See the 2027 entry.
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Requisites
Before EPM5031
Prohibitions
You can't enrol if you have passed any of these.
After EPM5031
No unit lists EPM5031 as a prerequisite in the 2023 handbook.
Enrolment rules
Pre-requisite: Must have passed EPM5003, EPM5026, EPM5027, EPM5029, EPM5030, ETC5510, FIT5196, FIT9136, MPH5040 AND Must have passed ETC5250 OR FIT5149
Co-requisite Must be enrolled in course code M6036.
Overview
This unit will involve you completing a practical project concerning a real-life health data analytics research problem. You will be supervised by an analytics expert and guided through the design, formulation of an analysis plan, conduct and oral and written reporting of the results of the project. This will enable opportunities for synthesising and applying the skills in the Master of Health Data Analytics coursework.
Note: Enrolment into this unit is by invitation from the Course Coordinator.
Offerings in 2023
The 2023 handbook lists no offerings for EPM5031.
Assessment
- Data analysis concept map (600 words)Competency hurdle10%
- Case Study: Oral presentation (1,800 words)30%
- Case Study: Written report (3,600 words)60%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Critically appraise relevant research literature for developing a solution to a particular health data analytics problem
- 2
Identify the core health data analytics principles in health research relevant to the project
- 3
Implement the necessary techniques to summarise and analyse the project data to answer the research question
- 4
Communicate results arising from health data analyses to scientific and lay audiences across digital, written and audio modalities
Workload and teaching
- Applied sessions10 hours
Twelve hours per week, consisting of (on average):
- 2 hours per week for reading relevant research material
- 9 hours per week working on the health data analytics (i.e. data wrangling, analysis, report writing)
- 1-hour face-to-face or zoom meetings with the project supervisor
No residential component is required.
Contacts
- Chief Examiners
- Dr Joanna Dipnall
- Unit Coordinators
- Dr Joanna Dipnall
Common questions
What are the prerequisites for EPM5031?
EPM5031 has no prerequisites, but enrolment rules apply.
When is EPM5031 offered?
EPM5031 has no offerings listed in the 2023 handbook.
Does EPM5031 have an exam?
No. EPM5031 has 3 assessment tasks and no exam.