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Unit (2020)

Information on this page, including unit offerings, is from the 2020 academic year.

Health Data Analytics (SWM531)

Organisational Unit Global Studies
Credit Points 3
Description Health Data Analytics is a scientific discipline concerned with the management, analysis and interpretation of health data. This unit provides in-depth exposure to fundamental analytic and biostatistical concepts; a range of different methodologies used to collect data; a variety of statistical techniques to appropriately analyze the quantitative data, as well as different approaches to analyzing qualitative data; and information on how to assess the results of such analyses, including effective use of personal computing resources.
Unit Learning Outcomes By the end of the unit students will be able to:
1) Develop strategies for data; collection, management and cleaning in analysing datasets;
2) Apply a variety of basic and more advanced statistical techniques to appropriately analyse public health data;
3) Assess, interpret and question the results of such analyses;
4) Conduct descriptive and analytic studies in public health and health policy research using appropriate statistical software.
Timetabled Learning Activities Seminars and workshops are delivered in intensive teaching mode (24 hours contact time), which may include evenings and weekends.
Unit Learning Experiences This unit will be taught using a combination of different methods: Lectures and readings to introduce new materials, discussions and small group exercises in class to deepen understanding of concepts, and tutorials to integrate learning and put theories and methods into practice. Lectures will be used to develop material that the students have already familiarised themselves with. Readings listed are to be done in advance of class. Students are expected to actively participate, both for their own benefit and to contribute to the learning of other students in the class. Health data analytics requires the mastering of new ways of conceptualizing problems and information. Thus, students should allow adequate time for looking up unknown terms, working through questions, etc. Some materials in this course are theoretically complex and will need to be read and studied multiple times. The goal is to develop a substantial degree of self-sufficiency in the collection, management, analysis and interpretation of data.
Other Learning Experiences A copy of the syllabus and readings from the syllabus are posted together. Supplemental readings and web links may be posted from time to time for those who wish to read more on a particular topic. A basic scientific calculator (a non-networked device) may be needed for quizzes.
Assessment Final course marks are based on the following components:
Attendance and participation: Required
Assessment 1: Assignment (4@7.5% each) 30%
Assessment 2: Review of Article 10%
Assessment 3: Supervised Exam 30%
Assessment 4: Statistical Computing Project 30%
Prerequisites Enrolment in a graduate level course
Exclusions Students who have successfully completed 'SWM531 Advanced Topics in Health Infomatics and Bioinfomatics' may not enrol in this unit for credit.
Previously 2016: SWM655
Appears in these Courses/Majors:
see individual structures for context
Graduate Certificate in Health Administration, Policy and Leadership (GCHAPL) [New in 2015]
Internet Access RequirementsMurdoch units normally include an online component comprising materials, discussions, lecture recordings and assessment activities. All students, regardless of their location or mode of study, need to have access to and be able to use computing devices with browsing capability and a connection to the Internet via Broadband (Cable, ADSL or Mobile) or Wireless. The Internet connection should be readily available and allow large amounts of data to be streamed or downloaded (approximately 100MB per lecture recording). Students also need to be able to enter into online discussions and submit assignments online.

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