Statistics

Keep abreast of the latest developments in statistical analysis by enrolling in one of our short courses or single units of study.

Choose a short course program (non-assessable), designed to expand and update your skills, or a single unit of study (assessable) which may be credited to your degree.

Our short courses are ideal for researchers in any area, especially health, market, business or social research, or current research students who need to add to their qualifications or stay up to date with the latest techniques and technology.

Our teaching emphasises practical application, so what you study will be of immediate use in your current work.

Courses and single units of study

Many of our degree units run once a week over a semester. Research students and others are welcome to enrol in a single unit or selected topics. If you choose to be assessed, you may be able to credit the unit to other degree study.

We currently offer two postgraduate units as single-unit study options: Statistical Practice 1 and Research Design. These are particularly valuable for higher degree by research (HDR) and Honours students who are working on, or planning to work on, quantitative projects.

In addition, several undergraduate statistics units are also available as single-unit study options:

• Foundations of Statistics 
• Statistical Computing 
• Epidemiology
• Data Mining 
• Amalysis of Variance and Regression 
• Statistics for Forensics 
• Multivariate Analysis.
   

Swinburne students and supervisors wanting statistics training or help, please see Statistics Training (login required). These courses are free for Swinburne HDR students and staff.

If you're external to Swinburne and would like statistics training, please use the Statistics Short Course Application Form.

Weekly online short courses

• Basic Statistics
• Simple Linear Regression and ANOVA
• Introduction to R
• Using R for Statistical Analysis
• Survey Design
• Research Design
• Multiple Linear Regression and General Linear Models (GLM)
• Multivariate Analysis of Variance (MANOVA)
• Factor Analysis (EFA and CFA) and Structural Equation Modelling (SEM)

Course forms

Custom training

If you don't see what you are looking for, contact us to express your interest in learning about a particular topic. For example, we can provide instruction on R, Bayesian statistics, scale development, logistic regression, loglinear modelling, forecasting survival analysis, cluster analysis, conjoint analysis, correspondence analysis and multidimensional scaling.

We also invite you to enquire about tailored in-house courses and one-on-one consultations.

For all enquires related to statistics short courses please contact:

Dr Prahan Apputhurai
Director of Statistics short courses 

Department of Biomedical, Health and Exercise Sciences
papputhurai@swinburne.edu.au

Consulting services

We also invite you to enquire about tailored in-house courses and one-on-one consultations.

For all enquires related to statistical consulting please contact:

Professor Jahar Bhowmik
Director of Statistical Consulting

Department of Biomedical, Health and Exercise Sciences
jbhowmik@swinburne.edu.au