Statistics / Stochastic Processes specialisation
Informal specialisationYear: 2022
Statistics / Stochastic Processes specialisation
Contact information
See Mathematics and Statistics major
Overview
Statistics / Stochastic Processes specialisation within the Mathematics and Statistics major
Intended learning outcomes
- See Mathematics and Statistics major
Last updated: 9 March 2024
Structure
All of
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST30025 | Linear Statistical Models | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
MAST30001 | Stochastic Modelling | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
AND
Option 1
All of
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST30020 | Probability for Inference | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
MAST30027 | Modern Applied Statistics | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
OR
Option 2
One of
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST30020 | Probability for Inference | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
MAST30027 | Modern Applied Statistics | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
AND
One of Level 3 Department of Mathematics and Statistics subjects
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: 9 March 2024