Warning! This degree has changed. Read the transition arrangements.
Warning! This is a restricted degree. Subject enrolment is only available to students admitted into this degree.
Graduate Certificate of Applied Statistics
Translate theoretical statistical concepts into useable knowledge
Learn quantitative skills in exploratory data analysis, estimation and hypothesis testing, factor and regression analysis, discriminant analysis and forecasting. Gain practical experience using statistical software packages such as SPSS and SAS
Australian Higher Education Loan Program (HELP)
Swinburne University of Technology leads the way with innovative and new ways of teaching, learning and thinking. It offers a wide range of study options, from pre-apprenticeships, undergraduate, postgraduate and PhDs, including online degrees with Open Universities Australia. Swinburne is known for career-oriented education and encouraging lifelong learning.
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Graduates of the Graduate Certificate of Applied Statistics will be able to:
- Demonstrate the ability to critically think, review, analyse and consolidate statistical knowledge to provide solutions to complex problems in diverse field
- Synthesise communication skills to demonstrate an understanding of theoretical statistical concepts to transfer knowledge and ideas to a variety of audience
- Defend the application of statistical knowledge and skills to make independent judgements in a range of technical or management functions in varied specialised context
- Demonstrate responsibility and accountability for personal outputs and all aspects of the work or function of others within broad parameters.
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:
- Government agencies
- Market research
- Medical and biological sciences
- Town planning
- Social research
- Medical Research
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
Undergraduate degree and normally have an understanding of descriptive statistics
Work and Life
5 years (minimum) relevant industry experience
English Proficiency Requirements
English language requirements: (International students only)
IELTS (Academic Module): Overall 6.5 with no individual band below 6.0; or Swinburne English Language Centre: EAP 5 Advanced level with overall 70% and all skills 65% or above; or TOEFL iBT: minimum score 79 (Reading no less than 18, Writing no less than 20); or equivalent measures available at http://www.swinburne.edu.au/study/international/apply/entry-requirements/
Please note: This course is not available to international students who will be studying in Australia on a student visa (subclass 500).
The media used to teach this degree 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.
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. For further details for students considering Higher Education degrees visit the RPL website: http://www.future.swinburne.edu.au/pathways/workforce/index.html
Applicants with prior tertiary studies that satisfy part of the academic requirements of this degree may be granted ‘credit’ and/or entry into the degree with ‘advanced standing’. University policies apply and applicants are assessed on a case-by-case basis. For further information please refer to http://www.swinburne.edu.au/open-universities-australia/advanced-standing-rpl.html
The Graduate Certificate of Applied Statistics is designed for graduates in any discipline, especially for humanities, social sciences, health sciences, information systems and business graduates 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 experience with applied statistics. It concentrates on practical skills and enables participants to broaden their theoretical and practical knowledge in the basic areas of statistics.
Recommended Study Pattern
To qualify for a Graduate Certificate of Applied Statistics, students must complete all four core subjects. A subject can only be counted once. The program is delivered entirely online and is supported with eTutors, tutorials, print materials, websites and CD-ROMs.
To qualify for a Graduate Certificate of Applied Statistics, students must complete 4 core subjects (50 credit points). Each subject carries 12.5 credit points.
Please note: You cannot re-enrol into Swinburne subjects that you have already passed.
Taking time off from study (Absent Without Leave and Leave of Absence): How to apply for an approved leave of absence and minimise the risk of having to reapply for degree admission: https://www.swinburne.edu.au/current-students/manage-course/enrolment-timetable/time-off/
From Study Period 1 2018, the Graduate Certificate of Science (Applied Statistics) changed to the Graduate Certificate of Applied Statistics. The Course Structure remains the same with some minor changes to subjects.
Graduate Certificate of Applied Statistics
Students may choose to stay in the previous Course title or transfer to the new Course title. Students who wish to transfer to the new Course title must complete the online Course Transition Application.
For all students
The following subject changes apply from 2018:
- STA60003 Basic Statistical Computing changed to STA60003 Basic Statistical Computing using R
- STA80005 Statistical Marketing Tools changed to STA80005 Advanced Data Mining
The following subject changes apply from 2019:
- STA80006 Using R for Statistical Analysis changed to STA80006 Statistical Decision Making
- STA80004 Advanced Topics in Regression replaced by STA80011 Advanced Statistical Modelling
Choose subjects to begin.
You can apply for government funding or pay up-front.