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Graduate Diploma in Applied Statistics
Course handbook
General Information
Overview
The Graduate Diploma of Applied Statistics is designed for students who have a professional interest in the use of statistics. You’ll learn skills to evaluate data across humanities, social + health sciences, and information systems. There is an emphasis on practical and theoretical skills that cover the key areas of statistics.
Study structure
Successful completion of the Graduate Diploma of Applied Statistics requires students to complete units of study to the value of 100 credit points. All units of study are valued at 12.5 credit points unless otherwise stated.
Full-time study: 100 credit points/eight standard units of study per year
Part-time study: 50 credit points/four standard units of study per year
One credit point is equivalent to one hour of study per week per semester (including contact hours and private study)
See the course planner for an example degree structure.
Full-time study: 100 credit points/eight standard units of study per year
One credit point is equivalent to one hour of study per week per semester (including contact hours and private study)
See the course planner for an example degree structure.
Units of study | Unit code |
---|---|
Core units | |
Statistical Practice 1
Core unit, 12.5 credit points |
STA60001 |
Statistical Practice 2
Core unit, 12.5 credit points |
STA60005 |
Basic Statistical Computing Using R
Core unit, 12.5 credit points |
STA60003 |
Research Design
Core unit, 12.5 credit points |
STA60004 |
Units of study | Unit code |
---|---|
Core units | |
Multivariate Statistics
Core unit, 12.5 credit points |
STA70002 |
Advanced Modelling and Analytics
Core unit, 12.5 credit points |
STA70008 |
Research Project Part A
Core unit, 12.5 credit points |
STA70009 |
Research Project Part B
Core unit, 12.5 credit points |
STA70010 |
Aims and objectives
On successful completion of this programme the learner will be able to
- Provide solutions to complex problems in diverse fields using critical thinking skills to review, analyse and consolidate statistical knowledge
- 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
- Interpret and report statistical results accurately
- Conduct advanced statistical modelling using a variety of statistical software
Career opportunities
Graduates may find research assistant positions involving both the management and application of research in a wide variety of areas including government agencies, market research, education, medical and biological sciences, town planning, social research or sports areas.
Maximum Academic Credit
The maximum level of credit that can be granted for the Graduate Diploma of Applied Statistics is 25 credit points (normally two units).
Admission criteria
Information about Swinburne's general admission criteria can be found at Admissions at Swinburne - Higher Education webpage.
Interested in the Graduate Diploma of Applied Statistics?
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