Statistics / Stochastic Processes specialisation
Informal specialisationYear: 2018
Statistics / Stochastic Processes specialisation
Contact information
Coordinator
Dr Lawrence Reeves
Melbourne Graduate School of Science
Faculty of Science
The University of Melbourne
Victoria 3010
Tel: + 61 3 8344 6128
Fax: +61 3 8344 3351
Overview
Statistics / Stochastic Processes specialisation within the Mathematics and Statistics major
Intended learning outcomes
See Mathematics and Statistics major
Last updated: 4 April 2025
Structure
Completion of 50 points of study at Level 3.
Subject Options
Both of
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| MAST30025 | Linear Statistical Models | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST30001 | Stochastic Modelling | Semester 2 (On Campus - Parkville) |
12.5 |
Plus at least one of
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| MAST30020 | Probability for Inference | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST30027 | Modern Applied Statistics | Semester 2 (On Campus - Parkville) |
12.5 |
Plus (if required as a fourth subject) any other third year level subject offered by the Department of Mathematics and Statistics.
Notes
This specialisation is available to new generation Bachelor of Science students (B-SCI). It is also available to Bachelor of Science students who commenced prior to 2008. The published structure of this specialisation/major includes subjects available in the current year. Pre-2008 Bachelor of Science students who completed one or more Level 3 science subjects towards this major prior to 2010 should contact the Science Student Centre for advice on appropriate subjects to complete this major.
Links
http://graduate.science.unimelb.edu.au
Last updated: 4 April 2025