Coursework programs
Master of Statistical Science – Melbourne (Bundoora) (SMST)
The course aims to provide opportunities for postgraduate students to further their understanding of the statistical modelling of physical, biological and economic phenomena so they can contribute to applied research and development in industry, commerce and research.
The course gives particular emphasis to analysis of data using computer-related technology. Students select studies from a wide range of components and complete an externally examined minor thesis in their second year.
As part of this course, students may complete subjects offered through the Key Centre of Statistical Sciences (KCSS) which comprises La Trobe University, the University of Melbourne, Monash University and RMIT. Additionally, students may also complete appropriate subjects offered nationally through the Access Grid Room network.
Admission requirements
Candidates entering with a pass Bachelor’s degree, including a sufficiently good pass in 60 credit points of third year statistics or its equivalent, require two years of full-time study to complete the course. Candidates who hold an Honours degree in statistics or equivalent enter the second year of the course.
Course structure
During the first year of the course students complete eight approved key centre subjects, each worth 15 credit points. Up to 30 credit points may be taken at the third year level, subject to approval by the Department. During the second year, students are required to complete another four approved key centre subjects, engage in a training program in statistical consulting (30 credit points) which runs over the entire academic year, and write a minor thesis (30 credit points). The degree may be completed on a part-time basis.
First year elective subjects (120 credit points)
Refer to elective subjects below for a full listing of first and second year electives.
Second year core subjects (60 credit points)
| Subject name | Subject Code | Credit points |
|---|---|---|
| Consulting and Applied Statistics | 39257 | 30 |
| MSc Statistics Thesis | 57960 | 30 |
Second year elective subjects (60 credit points)
Refer to elective subjects below for a full listing of first and second year electives.
Key Centre elective subjects offered vary, but usually include most of the subjects listed below (these subjects will be selected upon enrolment, depending on the subject availability and upon consultation with the course adviser):
Potential First and Second year KCSS Elective subjects:
| Subject name | Credit points |
|---|---|
| Analysis of Hierarchical Data | 15 |
| Analysis of Medical Data | 15 |
| Applied Financial Econometrics | 15 |
| Financial Econometrics 2 | 15 |
| Game Theory and Applications | 15 |
| Mathematics of Option Pricing | 15 |
| Probability for Inference | 15 |
| Regression Analysis | 15 |
| Statistical Inference – Melbourne | 15 |
| Statistical Inference | 15 |
| Stochastic Processes and Applications | 15 |
| Statistics for Quality and Productivity in Industry | 15 |
| Time Series Analysis | 15 |
Potential First and Second year AGR Elective subjects:
| Subject name | Credit points |
|---|---|
| Advanced Data Analysis | 15 |
| Advanced Optimization | 15 |
| Asymptotic Analysis | 15 |
| Financial Mathematics | 15 |
| Financial Time Series | 15 |
| Mutivariate Analysis | 15 |