This course is designed for graduates in the humanities, social sciences and health sciences who have a professional interest in the use of statistics. It is also applicable to other graduates who have a need to use statistics in their work but have not had sufficient or current training in applied statistics. It concentrates on practical skills and enables participants to broaden their theoretical and practical knowledge of the basic areas of statistics.
The postgraduate Applied Statistics program includes courses from the Graduate Certificate level, Graduate Diploma to the Masters level. It enables students to broaden their theoretical and practical knowledge of the basic areas of statistics, as well as their practical skills. In particular it builds proficiency in the SAS software package as well as SPSS. It provides students with experience in analysing multivariate data sets and in the analysis of complex sample data.
Course Objectives
The postgraduate Applied Statistics program aims to enable students to develop:
- Proficiency in statistical software packages such as SPSS and SAS
- An understanding of the need for, and methods of, acquiring good data
- Quantitative skills in areas such as exploratory data analysis, estimation and hypothesis testing, factor and regression analysis, discriminant analysis and forecasting
- An appreciation for the role of statistical analysis for revealing underlying relationships and behaviours in business and society
Career Outcomes
The demand for applied statisticians continues to grow as data production grows in all areas of the economy. Graduates are employed in areas such as the following:
- Marketing
- Government agencies
- Market research
- Education
- Medical and biological sciences
- Town planning
- Social research
- Insurance
- Banking
- Medical Research
Eligibility
Academic
Applicants must have an undergraduate degree (or equivalent) in any discipline. Applicants with an appropriate postgraduate diploma or equivalent are also eligible to apply.
Work Experience
Non-graduates with several years of practical statistical experience are eligible to apply and be eligible to commence Graduate Certificate level studies.
International applicants must have an IELTS score of 6.5 average, with at least 6.0 on every section of the test.
How to Apply
This course is restricted. Students are required to apply and be approved by Swinburne University of Technology before they can enrol in units through OUA.
Applications for the Master, Graduate Diploma or Graduate Certificate of Science (Applied Statistics) are due by Friday two weeks prior to the close of enrolment.
Please complete the application form below.
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Select to apply for one or more courses listed on the application form, taking note
of the eligibility criteria for each course. If you want to apply for a (restricted)
course with a different university, you'll need to submit a separate application
from the relevant course page.
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or save and return to it later.
Completing this application should take 15 to 20 minutes.
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Need help completing your application? Contact us:
If in doubt about any of the information required to support your application, the
more information you can provide the better. If you have any academic queries
including how to request credit transfer, contact Swinburne University of Technology directly.
For all other enquiries, contact us.
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Next steps:
After submitting your application, you should receive a confirmation email containing
a copy of your application for your records.
Your application will be assessed within 2-4 weeks, and if further information is
required, we will contact you. Once your application has been assessed, we will
be in touch via email to notify you of the outcome. At the latest this will be
one week after the closing date for applications.
If, after submitting your application, you wish to change your
preferences or submit an additional document, please email apply@open.edu.au. Include your full
name as it appeared on the application.
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Prepare supporting documents
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Check that you have all the required documents, according to individual course
requirements and your personal circumstances, specifically:
- Your curriculum vitae - required for entry into postgraduate courses
only.
- Certified
copies of academic transcripts - required in most cases but check course
eligibility rules.
- A letter of recommendation from your employer on company letterhead -
recommended for entry using work experience.
- Certified legal documentation - if you have changed your name e.g. a marriage
certificate, deed poll name change certificate.
- Certified legal documentation - if you need to correct an error in your date of
birth e.g. a birth certificate.
- English language test results - if your courses were not predominantly in
English e.g. IELTS
or equivalent test results.
- Official translations of any documents not in English.
A "certified" copy is a copy bearing the recognised mark of a Justice of the Peace,
Commission of Oaths or declarations, Public Notary or a Solicitor.
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Create an electronic copy of your attachments:
For each certified document, scan and save it on your computer. Save your curriculum
vitae to your computer, then get ready to upload all documents in the form.
Do not send original documents as they will not be returned.
Then submit your application in one of two ways:
Special Requirements
The media used to teach this course include printed materials and also some online study material. You will need easy and frequent access to a computer with the internet and email.
Additionally, students will be required to purchase and/or have access to the statistical software package SPSS.
SAS software required in Graduate Diploma and Master of Science units will be supplied by DVD. Please note: SAS will only run on a Windows platform.
Award Requirements
To qualifiy for the award of Graduate Diploma of Science (Applied Statistics) students must complete eight units.
Students completing the Graduate Diploma will be eligible to apply for the Master of Science (Applied Statistics).
Recognition of Prior Learning / Credit
Recognition of Prior Learning (RPL) is a process where a student may be granted credit or partial credit towards a qualification in recognition of skills and knowledge gained through work experience, life experience and/or formal training. Entry to the course is available through Recognition of Prior Learning (RPL) and relevant experience. Entry points will vary according to Swinburne Exemption and RPL policies.
Normally a maximum of 2 units in the Graduate Diploma or Master of Science (Applied Statistics) is available. A maximum of 4 units is possible in exceptional circumstances.
For further information about Swinburne University’s credit transfer arrangements please refer to: policies.swinburne.edu.au/ppdonline or contact the OUA Coordinator at Swinburne University.
Related Courses
This course sits within a group of courses, giving you the flexibility to study towards different levels of qualification. The courses are listed from the highest to the lowest qualification.
Course Structure
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Graduate Diploma of Science (Applied Statistics)
Total number of units to complete:
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