Graduate Diploma of Applied Statistics

The Graduate Diploma 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.

Throughout your studies you will work with software packages such as R, IBM SPSS, and the SAS suite.

You’ll learn best-practice methods for research design and as you progress, you’ll learn to use advanced analysis techniques and make forecasts based on complex sample surveys.

Group activities using real-life data will help you build your problem-solving capability.

This qualification is 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, 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, 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 statistics in their work, but have not had sufficient or current training in applied statistics. It concentrates on practical skills, but also broadens and builds theoretical knowledge of key areas of statistics.

To qualify for the award of Graduate Diploma of Applied Statistics, a student must complete eight core units of study (100 credit points).Maximum Academic CreditThe maximum level of credit that can be granted for the Graduate Certificate of Applied Statistics is 25 credit points (normally two units)

Units of study

STA60001 Statistical Practice 1 * STA60005 Statistical Practice 2 * STA60003 Basic Statistical Computing Using R STA60004 Research Design STA70002 Multivariate Statistics * STA70003 Data Management and Analytics Using SAS * STA70004 Forecasting * STA70005 Survey Sampling *

* Outcome units - matched exemptions are generally not granted for higher education outcome units.

• Undergraduate degree and an understanding of descriptive statistics or
• Successful completion of the Graduate Certificate of Applied Statistics with a 65% average

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.

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).