Enrolments for 2019 have closed.
Statistical Consulting
Postgraduate | SWI-STA80009 | 2019
Course information for 2019 intake
View information for 2020 course intakeResearch effective consulting strategies and develop skills to solve statistical problems for clients in real settings. Advise using different data collection methods. Survey behaviour and ethics. Consult case studies. Write and present reports.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Part of a degree
- Duration
- -
FEE-HELP available
Statistical Consulting
About this subject
Students who successfully complete this subject will be able to:
- Formulate research questions and hypotheses in a specific consulting context
- Distinguish between different data collection strategies and research designs in a specific consulting context
- Appraise client needs in regard to appropriate data analysis using a range of statistical procedures and interpretation of the results of this analysis
- Formulate directions for further investigations by the client
- Compose findings and conclusions using presentations and written reports
- Contribute to projects assisting with research proposals, ethics and tender applications and journal articles.
- Objectives of statistical consulting
- Managing relationships with collaborators and clients
- Advanced statistical methodology for consulting
- Professional behaviour and ethics
- Writing research proposal and ethics applications
- Preparing tender application and research articles
This subject assists students to develop effective consulting strategies and expertise for dealing with clients who ask for statistical help. This will be done using case studies and a range of real clients with real problems.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Assignments — 2 (60%)
- Presentation (20%)
- Quizzes — Online (20%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
To enrol in this subject, you must be admitted into a degree.
Prior study
You must have successfully completed the following subject(s) before starting this subject:
one of
SWI-STA80004-Advanced Topics in Regression (no longer available)
SWI-HMS793 (Not currently available)
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.