Statistics / Stochastic Processes (GD-SC_INFSPC_11)

You’re currently viewing the 2018 version of this component

Overview

The Graduate Diploma allows students who have completed an undergraduate degree to refocus or expand their body of knowledge by completing the requirement of one of the undergraduate majors (or equivalent) in the Bachelor of Science not already completed. The Graduate Diploma provides a pathway to the Master of Science Streams.

Intended learning outcomes

Students who complete the Graduate Diploma should:

Demonstrate an independent approach to knowledge that uses rigorous methods of inquiry and appropriate theories and methodologies that are applied with intellectual honesty and a respect for ethical values;
Apply critical and analytical skills and methods to the identification and resolution of problems;
Act as informed and critically discriminating participants within the community of scholars, as citizens and in the work force;
Communicate effectively;
Commit to continuous learning;
Be proficient in the use of appropriate modern technologies, such as the computer and other information

Last updated: 4 March 2025

Structure

Completion of 125 points:

50 points of study at Level 2 or above;
50 points of study at Level 3;
25 point of study at Level 9

Subject Options

Subject prerequisites: For stream specific requirements please click here.

Level 2

Students should select 50 points of level 2 options to meet the pre-requisites for their level 3 choices.

Both of:

Code	Name	Study period	Credit Points
MAST20005	Statistics	Semester 2 (On Campus - Parkville)	12.5
MAST20026	Real Analysis	Semester 1 (On Campus - Parkville) Semester 2 (On Campus - Parkville)	12.5

Plus one of:

Code	Name	Study period	Credit Points
MAST20004	Probability	Semester 1 (On Campus - Parkville)	12.5
MAST20006	Probability for Statistics	Semester 1 (On Campus - Parkville)	12.5

Plus another level 2 MAST subject required to meet the pre-requisites for level 3 options below.

Level 3

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

Level 9

Plus two level 9 subjects selected from listed discipline subjects in the Master of Science (Mathematics and Statistics) program

Links

http://graduate.science.unimelb.edu.au