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Statistics / Stochastic Processes specialisation

Informal specialisationYear: 2024

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Overview

Statistics / Stochastic Processes specialisation within the Mathematics and Statistics major

Intended learning outcomes

  • See Mathematics and Statistics major

Last updated: 18 April 2024

Structure

All 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

AND

Option 1

All 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

OR

Option 2

Two of Level 3 School of Mathematics and Statistics subjects

Including:

A minimum of 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

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: 18 April 2024