A specialisation is a focused collection of courses within a programme that allows you to gain deep, targeted knowledge in a specific sub-field. Normally these courses make up more than 50 percent of a qualification, some of which lead to registration within a certain field. They may be interdisciplinary, professionally oriented, or designed to meet accreditation requirements. Specialisations often restrict elective choice in favour of a clearly defined study plan.

Completed specialisations will appear on your academic transcript.

Please see the main programme link below for further details.

We live in an information age. Computers allow us to collect and store information in quantities that previously would not even have been dreamt of. However, raw, undigested data stored on computers is useless until people can start to make sense of it.
Statistics is the human side of the computer revolution, an information science, the art and science of extracting meaning from seemingly incomprehensible data. Statistics applies to almost any field; this is why some training in statistics can help make you more effective and more employable, regardless of the career direction you choose.
Investigation: asking questions, designing ways to collect data to answer those questions, collecting data, making sense of what the data say to produce sensible answers – this is the subject matter of statistics and a set of general life skills.
The Department of Statistics is the birthplace of the R Project. Founded in 1996 by Associate Professors Robert Gentleman and Ross Ihaka, R is a free programming language and environment for statistical computing and graphics. It is taught around the world and is used by Ivy League universities, Google, Uber, and many more. Learn more about the R Project.

PhD - Doctor of Philosophy

We welcome PhD proposals in areas including:
- Biostatistics and novel regression methodologies
- Human Genomics and Bioinformatics
- Statistical computing
- The analysis of survey data
- Statistical Ecology and Bioinformatics
- Forensic Statistics
- Medical Statistics
- Statistics education
- Experimental design and quality improvement
- Operations Research and Stochastic Processes
- Bayesian Statistics