Master of Science (Applied Statistics) - 2017

Please note: This course has recently undergone a major change. Please refer to Transition Arrangements for more information.

The 2018 course information for this course is now available. View 2018 course details.

Course summary

Course summary - 2017

Level: Postgraduate
Qualification: Masters Degree
Number of units: 16 units to complete

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Restrictions apply. See Eligibility.

This course has restricted enrolment. You must apply and be accepted before you can enrol in units.

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Operating Hours

Standard hours

Mon - Fri: 8am - late

Sat & Sun: 9am - 5pm

All times in Australian Eastern
Standard Time (AEST) or Australian Eastern Daylight Time (AEDT)

The Master of Science (Applied Statistics) is designed for graduates in any discipline, especially the humanities, social sciences and health sciences, information systems or business and science graduates who have a professional interest in the use of statistics, plus those who have a need to use statistics in their work, but have not had sufficient or current training in the area.

The postgraduate Applied Statistics program includes courses from the Graduate Certificate, Graduate Diploma and Master levels. 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.

Note that these programs are available to international students, but only for international students who are studying in a country other than Australia. This is because students may only undertake a total of 4 units per year in these programs with a significant online component.

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

Graduates of the Masters of Science (Applied Statistics) will be able to:

  1. Develop advanced cognitive skills to demonstrate mastery of theoretical statistical knowledge and to reflect critically on theory and professional practice or scholarship
  2. Assemble technical and creative statistical skills to investigate, analyse and synthesise complex information, problems, statistical concepts and theories and to apply established theories to different bodies of knowledge or practice
  3. Initiate cognitive, technical and creative statistical skills to generate and evaluate complex ideas and concepts at an abstract level
  4. Combine communication and statistical research skills to justify and interpret theoretical propositions, methodologies, conclusions and professional decisions to specialist and non-specialist audience
  5. Select statistical and communication skills to design, evaluate, implement, analyse and theorise about developments that contribute to professional practice or scholarship
  6. Develop the application of statistical knowledge & skills, with creativity and initiative to new situations in professional practice and/or for further learning
  7. Demonstrate a high level of personal autonomy and accountability.

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

Academic Requirements

Applicants require either:

1. Undergraduate degree and normally have an understanding of descriptive statistics
2. Have successfully completed the Graduate Certificate of Science (Applied Statistics)

English Language Requirements

Swinburne College English for Academic Purposes Certificate: EAP 5 Advanced: 70%; OR, obtaining a minimum IELTS overall band of 6.5 (Academic Module) with no individual band below 6.0; OR, a TOEFL (Paper-based) minimum score of 550 (with Test of Written English (TWE) score of 5); OR, a TOEFL (Internet-based) minimum score of 79, with no individual band below 18.

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.

To qualify for a Master of Science (Applied Statistics), students must complete 16 units (200 credit points). Units normally carry 12.5 credit points.

Please note: You cannot re-enrol into Swinburne units that you have already passed.

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:

Total number of units to complete: 16 units Required Elective Optional
Unit name Code Provider Availability
Statistical Practice 1
STA60001 SWI SP1 - SP3 -
Basic Statistical Computing
STA60003 SWI SP1 - SP3 -
Research Design
STA60004 SWI SP1 - SP3 -
Statistical Practice 2
STA60005 SWI SP1 - SP3 -
Multivariate Statistics
STA70002 SWI SP1 - SP3 -
Further Statistical Computing
STA70003 SWI SP1 - SP3 -
STA70004 SWI - - SP3 -
Survey Sampling
STA70005 SWI - - SP3 -
Structural Equation Modelling
STA80003 SWI - - SP3 -
Advanced Topics in Regression
STA80004 SWI SP1 - - -
Statistical Marketing Tools
STA80005 SWI - - SP3 -
Using R for Statistical Analysis
STA80006 SWI SP1 - - -
Bayesian Statistics
STA80007 SWI - - SP3 -
Scale Development and Evaluation
STA80008 SWI SP1 - - -
Statistical Consulting
STA80009 SWI SP1 - - -
Industrial/Research Project
STA80010 SWI - - SP3 -

Recognition of Prior Learning (RPL)

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 courses visit the RPL website:

Credit Transfer

Applicants with prior tertiary studies that satisfy part of the academic requirements of this course may be granted ‘credit’ and/or entry into the course with ‘advanced standing’. University policies apply and applicants are assessed on a case-by-case basis. For further information please refer to

You can pay fees in one of two main ways:

Eligible OUA students can access the government loan scheme known as FEE-HELP. You pay back the loan through your taxes once your income reaches a minimum threshold.

Who can access it?

  • Australian citizens who will undertake, in Australia, at least one unit of study contributing to their course
  • Permanent humanitarian visa holders who will be resident in Australia for the duration of their unit
  • Permanent visa holders who are undertaking bridging study for overseas-trained professionals, and will be resident in Australia for the duration of their study

Find out more about FEE-HELP

You can pay your fees upfront - in full at the beginning of a unit - using:
  • Credit card (Visa and MasterCard)
  • Cheque
  • Money order

You should make cheques and money orders payable to 'Open Universities Australia' and send them to:
Open Universities Australia
GPO Box 5387
Melbourne 3001

Please note: The Master of Science (Applied Statistics) has undergone a major change due to changes in the Australian Qualification Framework. Students who started their degree prior to 2015 can continue with the pre-2015 course. All students who began their studies from 2015 will need to study the new course structure.


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