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

Learning outcomes

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

Students who complete this course will have the training needed to find employment in industry and research positions. They will also have the skills needed to pursue Masters and PhD research programs.

Course rules

To qualify for a Graduate Diploma of Applied Statistics, students must complete:

  • eight [8] core units of study (100 credit points) enrolling on a full-time or part-time basis.

A unit of study can only be counted once.

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?

From state-of-the-art facilities to opportunities to engage with industry – this course is designed with your future in mind. Let's get started.

View course page