Master of Applied Statistics
Blended learning – on-campus and digital learning
This course has been discontinued - this course is closed for new enrolments, the information on this page is provided for continuing students.
The Master of Applied Statistics is designed to give you an advanced practical and theoretical knowledge of statistical methods that you can apply in your workplace or to your area of interest. The program comprises coursework, work placements, and a minor thesis.
Become proficient with statistical software packages, including R, SAS and IBM SPSS, and develop data analysis skills in advanced statistical modelling and measurement. Build your research and evaluation expertise through a consulting unit and a research unit. Supervised professional placements are a critical component of the course and will help you cement your learning in a professional context.
Graduate with the skills and experience to establish yourself as a professional statistician or statistical consultant. Students who complete a master program with appropriate experience are eligible to apply for the award of Accredited Statistician through the Australian Statistical Society.
Become proficient with statistical software packages, including R, SAS and IBM SPSS, and develop data analysis skills in advanced statistical modelling and measurement. Build your research and evaluation expertise through a consulting unit and a research unit. Supervised professional placements are a critical component of the course and will help you cement your learning in a professional context.
Graduate with the skills and experience to establish yourself as a professional statistician or statistical consultant. Students who complete a master program with appropriate experience are eligible to apply for the award of Accredited Statistician through the Australian Statistical Society.
Graduate with a globally recognised SAS certification
This immersive joint certification program forms part of your course. You'll gain hands-on experience working with big data in a corporate environment, and access to the related SAS business analytics software.
Tech things up a notch with postgrad study
A graduate certificate, diploma or master degree with a strong tech focus could future-proof your career. Get all the course info and application advice you need to help you make that next crucial career step.
Duration
2 years full-time or equivalent part-time with combined online delivery and optional on-campus classes/workshops
Study modes
- Full-time,
- Online,
- Part-time
Course information in detail
- Course detail, course structure and units of study.
Course description
This course is designed for graduates in any discipline, especially for humanities, social sciences, health sciences, information systems, business and science graduates who have a professional interest in the use of statistics. It is also applicable to other graduates who have a need to use advanced level of statistics in their work but have not had sufficient or current advanced training in applied statistics. It concentrates on advanced practical skills but also provides advanced theoretical and practical knowledge in multiple areas of statistics, while developing research skills and experience.
Course structure
To qualify for the Master of Applied Statistics, a student must complete the 16 core units (200 credit points).
Units of study
* Outcome units - matched exemptions are generally not granted for higher education outcome units.
Careers and graduate outcomes
- Career opportunities, course aims and objectives, graduate skills and professional recognition.
Career opportunities
Graduates can seek positions as a research officer in a wide variety of areas including government agencies, market research, education, medical and biological sciences, town planning, social research or sports areas.
Aims and objectives
Students who successfully complete this course will be able to:
- demonstrate advanced abilities to critically think, review, analyse and consolidate statistical knowledge to provide solutions to complex problems in diverse fields
- synthesise communication skills to demonstrate an understanding of theoretical statistical concepts to transfer complex knowledge and ideas to a variety of audiences
- defend the application of advanced statistical knowledge and skills to make high level, independent judgements in a range of technical or management functions in varied advanced contexts
- demonstrate responsibility and accountability for personal outputs and all aspects of the work or function of others within broad parameters
- demonstrate ability to perform advanced statistical modelling techniques using a variety of software
- demonstrate ability to perform independent applied statistical research by working independently/collaboratively to collect, analyse, interpret and communicate the outcomes of research questions in diverse disciplines
- demonstrate a high level of personal autonomy and accountability to work independently as a statistical consultant.
Graduate skills
The Swinburne graduate attributes signify that Swinburne intends that its teaching programs assist all its graduates to be:
- capable in their chosen professional, vocational or study areas and have an ability to engage in critical enquiry
- entrepreneurial in contributing to innovation and development within their business, workplace or community
- effective and ethical in work, community situations and reasoning skills
- adaptable and able to manage change
- aware of local and international environments in which they will be contributing (e.g. sociocultural, economic, natural).
Professional recognition
Students who complete a Master program with appropriate experience are eligible to apply for the award of Accredited Statistician. Find out more about accreditation.
Pathways and scholarships
- Credit transfer, recognition of prior learning and scholarships.
Course fees and requirements
- Fees, entry requirements and non-year 12 entry.
Course fees
The total tuition fee is dependent upon the combination of units of study selected by the student. Fees are reviewed each year. Find out more about fees.
Entry requirements
- Undergraduate degree and an understanding of descriptive statistics or
- Successful completion of the Graduate Certificate and/or Graduate Diploma of Applied Statistics with a 65% average
How to apply
This course is closed for new enrolments.