Graduate Certificate of Applied Statistics

The Graduate Certificate of Applied Statistics will give you a practical knowledge of statistical methods that you can confidently apply in your workplace or your area of interest.

You’ll become familiar with statistical software packages such as R and IBM SPSS, learn best-practice methods for research design, and develop your data analysis skills.

You’ll build your problem-solving capability by working with real-life data and completing group activities.

This qualification is well suited to graduates of other disciplines or those who need to use statistics in their role but haven’t had formal applied statistics training.

Your skills can be applied to a wide range of disciplines and industries, including market research, business, sports and health.

This course 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.

Units of study

STA60001 Statistical Practice 1 * STA60005 Statistical Practice 2 * STA60003 Basic Statistical Computing Using R STA60004 Research Design * * Outcome units - m

• Undergraduate degree and an understanding of descriptive statistics or
• Five years relevant industry experience*

* Relevant industry experience: If this includes work experience, documents substantiating work experience need to be provided on company letterhead and clearly detail roles as well as duties and duration of posts held.

Students who successfully complete this course will be able to:

• demonstrate the ability 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 knowledge and ideas to a variety of audiences
• defend the application of statistical knowledge and skills to make independent judgements in a range of technical or management functions in varied specialised contexts
• demonstrate responsibility and accountability for personal outputs and all aspects of the work or function of others within broad parameters.

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).