The Statistics Honours specialisation is a one-year (full-time) 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 Honours in Statistics have been highly successful in professional practice and a number have progressed to PhD studies.
Learning Outcomes
- Demonstrate a sound knowledge and critical understanding of research design and methods in development of a research proposal and research plan.
- Perform independent research.
- Exhibit in-depth knowledge of the chosen research topic.
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) (HMEDS)
- Bachelor of Philosophy (Honours) - Science (APHSC)
- 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
Applied Statistics major
Probability and Stochastic Processes major
Statistical Data Analytics major
Theoretical Statistics major
Or, Completion of the first 144 units of prescribed courses in the Bachelor of Finance, Economics and Statistics
2. 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 one of the majors specified above.
3. Written approval of the Honours Convener. The number of places available in the program may be limited due to supervisory capacity.
Cognate Disciplines
Finance, Economics, Commerce, Actuarial Studies, Statistics, Mathematics and Science
Requirements
This Honours specialisation requires the completion of 48 units, which must consist of:
30 units from the completion of the following compulsory course(s):
STAT4027 - Statistical Inference (6 units)
STAT4500 - Statistics Honours Thesis (24 units)
18 units from the completion of courses from the following list:
STAT4018 - Stochastic Processes
STAT4026 - Graphical Data Analysis
STAT4029 - Design of Experiments and Surveys
STAT4030 - Generalised Linear Models
STAT4040 - Statistical Learning
STAT4050 - Advanced Statistical Learning
STAT4072 - Survival Models
STAT4102 - Applied Time Series Analysis
STAT4116 - Introduction to Bayesian Data Analysis
42 units from completion of the following course(s):
| Code | Title | Units |
|---|---|---|
| STAT 4010: Managing the Research Process | ||
| STAT4027 | Statistical Inference | 6 |
| STAT4102 | Applied Time Series Analysis | 6 |
| STAT4500 | Statistics Honours Thesis | 24 |
6 units from completion of the following course(s):
| Code | Title | Units |
|---|---|---|
| STAT4018 | Stochastic Processes | 6 |
| STAT4026 | Graphical Data Analysis | 6 |
| STAT4029 | Design of Experiments and Surveys | 6 |
| STAT4030 | Generalised Linear Models | 6 |
| STAT 4035: Risk Theory | ||
| STAT 4036: Credibility Theory | ||
| STAT4040 | Statistical Learning | 6 |
| STAT4072 | Survival Models | 6 |
| STAT4116 | Introduction to Bayesian Data Analysis | 6 |