The statistics honours specialisation is a program offered within the Research School of Finance, Actuarial Studies and Applied Statistics that offers students who have excelled in their undergraduate studies a challenging but rewarding year of study in statistics. We seek outstanding students who are keen to undertake independent statistical research with the guidance from academic staff. Past students graduating from the Honours in Statistics program have been highly successful in professional practice and a number have progressed to PhD studies.
Relevant Degrees
- Bachelor of Applied Data Analytics (Honours) (HADAN)
- Bachelor of Biotechnology (Honours) (HBIOT)
- Bachelor of Environmental Studies (Honours) (HENVS)
- Bachelor of Finance, Economics and Statistics (Honours) (AFEST)
- Bachelor of Genetics (Honours) (HGENE)
- Bachelor of Medical Science (Honours) (HMDSA)
- Bachelor of Medical Science (Honours) (HMEDS)
- Bachelor of Philosophy (Honours) - Science (APHSC)
- Bachelor of Philosophy (Honours) / Bachelor of Science (Honours) - ANU as home institution (APNSC)
- Bachelor of Science (Advanced) (Honours) (ASCAD)
- Bachelor of Science (Honours) (HSC)
- Bachelor of Statistics (Honours) (HSTAT)
Admission Requirements
1. 48 units from completion of one of the following majors or equivalent:
Statistics major
Quantitative Finance major
Mathematical Finance major
2. with a weighted average mark equivalent to an ANU 75 per cent calculated from the 36 units (i.e. 0.75 EFTSL) of courses with highest final marks, excluding 1000-level courses (i.e. introductory undergraduate courses), from the major above
3. and with the written approval of the Honours Convener.
The number of places available in the program may be limited by the Dean due to supervisory capacity.
Requirements
This Honours specialisation requires the completion of 48 units, which must consist of:
30 units from completion of the following course(s):
Code | Title | Units |
---|---|---|
STAT4027 | Statistical Inference | 6 |
STAT4500 | Statistics Honours Thesis | 6-24 |
18 units from completion of the following course(s):
Code | Title | Units |
---|---|---|
STAT4018 | Stochastic Modelling | 6 |
STAT4026 | Graphical Data Analysis | 6 |
STAT4029 | Design of Experiments and Surveys | 6 |
STAT4030 | Generalised Linear Modelling | 6 |
STAT4035 | Risk Theory | 6 |
STAT4036 | Credibility Theory | 6 |
STAT4040 | Statistical Learning | 6 |
STAT4072 | Survival Models | 6 |
STAT4116 | Introduction to Bayesian Data Analysis | 6 |
STAT4102 | Applied Time Series Analysis | 6 |