There is a healthy tradition of study programs available in the Department of Statistics, beginning at the founding of UNSW.
Taught 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 an 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.