There is a healthy tradition of study programs available in the Department of Statistics, beginning at the founding of UNSW.
Undergraduate degrees and a range of Masters courses are available, some with scholarship support, designed to take advantage of the demands of the modern statistical workplace. Graduates with a UNSW degree in Statistics can be assured of a highly portable and valued skill set for their chosen profession. For further information and application details, follow the links below.
- Undergraduate Study - In your second year of undergraduate study, you are given options to attend more specialised courses in Statistics. Full details of undergraduate courses can be viewed.
- Honours Study - Capable students with good grades in their first three years of their degree will be offered the chance to study for the demanding honours year.
- Graduate Certificate in Mathematics and Statistics - A postgraduate degree intended for graduates with a degree in an area with a significant quantitative component, wishing to develop their knowledge and skills in Statistical Science.
- Graduate Diploma in Mathematics and Statistics - A postgraduate degree for those with some background in Statistics wishing to broaden their knowledge and job skills.
- Master of Statistics - The longest running Masters course in Australia can be taken both full or part-time to fit your work or lifestyle needs.
- Master of Financial Mathematics - The most comprehensive financial mathematics program in Australia.
- M.Sc. by Research - A Masters program which provides a basic training in research, supported by one of our academic staff.
- PhD Program - The chance to study and research Statistical theory and methodology to a doctoral level in an exciting working environment.
- More information about studying Statistics is available.
Statistics Project Areas
Statistics project areas available for study in the Masters/Honours program can be viewed.
Scholarships and Awards
Statistics Award: An annual award presented in April/May for the best performance by a student who has done well in third year statistics, and is proceeding to an honours year in statistics.