Introduction to Data Analytics in Healthcare
UndergraduateLTU-HIM10022025
- Study method
- 100% online
- Assessments
- 100% online
- Enrol by
- 20 July 2025
- Entry requirements
- Prior study needed
- Duration
- 12 weeks
- Start dates
- 28 July 2025
- Price from
- $1,164
- Upfront cost
- $0
- Loan available
- HECS-HELP and FEE-HELP available
Introduction to Data Analytics in Healthcare
About this subject
On successful completion you will be able to:
- Explain and demonstrate the importance of health data within healthcare organisations and public health research.
- Identify and apply appropriate data analytic tools and techniques in quantitative and qualitative research.
- Investigate and apply techniques for the collection, cleaning, analysis, reporting, application and governance of health data.
- Analyse the role of data analytics in healthcare quality and performance indicators.
- Demonstrate effective communication and dissemination of health data.
- Data Analytics in Health Care
- Quantitative Research in Public Health
- Qualitative Research in Public Health
- Critical Appraisal
In this subject, you are introduced to quantitative statistics, qualitative coding and the role of health data analytics in healthcare organisations and public health research. Key emphases include understanding the importance of healthcare data as an asset, identifying and applying the key elements of the data capture and analysis process in key research methodologies, along with effective presentation, communication and dissemination of findings beyond peer review publications. You will also investigate the role of health data analytics in quality and performance indicators.
This subject includes synchronous sessions held during business hours. This means that you will attend sessions each week simultaneously with your facilitator and classmates. This subject is recommended for first-year undergraduate students.
- One individual online quiz (equiv. 500 words) (10%)
- One individual critical appraisal (equiv. 800 words) (20%)
- Individual report (equiv. 1500 words) (40%)
- One individual data dashboard (equiv. 1000 words per person) (30%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Prior study
You must either have successfully completed the following subject(s) before starting this subject, or currently be enrolled in the following subject(s) in a prior study period; or enrol in the following subject(s) to study prior to this subject:
Please note that your enrolment in this subject is conditional on successful completion of these prerequisite subject(s). If you study the prerequisite subject(s) in the study period immediately prior to studying this subject, your result for the prerequisite subject(s) will not be finalised prior to the close of enrolment. In this situation, should you not complete your prerequisite subject(s) successfully you should not continue with your enrolment in this subject. If you are currently enrolled in the prerequisite subject(s) and believe you may not complete these all successfully, it is your responsibility to reschedule your study of this subject to give you time to re-attempt the prerequisite subject(s).
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
What to study next?
Once you’ve completed this subject it can be credited towards one of the following courses
Bachelor of Health Information Management
UndergraduateLAT-HIM-DEG
UndergraduateLAT-BUS-DEG
UndergraduateLAT-ART-DEG
Bachelor of Psychological Science
UndergraduateLAT-PYS-DEG
Bachelor of Arts/Bachelor of Health Sciences
UndergraduateLAT-AHS-DEG
UndergraduateLAT-HSC-DEG
Bachelor of Information Technology
UndergraduateLAT-TEC-DEG
UndergraduateLAT-CYS-DEG
UndergraduateLAT-CRM-DEG
UndergraduateLAT-HSC-DIP
UndergraduateLAT-ART-DIP
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