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Statistics / Stochastic Processes
Graduate Diploma in ScienceInformal specialisationYear: 2024
Statistics / Stochastic Processes
Overview
This specialisation of the Graduate Diploma allows students who have completed an undergraduate degree to refocus or expand their body of knowledge by completing the requirements of the Statistics & Stochastic Processes specialisation in the Mathematics and Statistics major of the Bachelor of Science. It provides a pathway into the Master of Science (Mathematics and Statistics).
Intended learning outcomes
Upon completion of this specialisation, students should be able to:
 Construct detailed, logical, clearly presented and justified arguments;
 Formulate and model practical and abstract problems in mathematics, including the use of information technology where appropriate;
 Solve complex problems through the Identification and application of appropriate mathematical tools;
 Communicate advanced mathematical ideas to an audience with a heterogeneous background in sciences;
 Utilise a broad range of mathematical methods, with a particular emphasis on Statistics & Stochastic Processes;
 Investigate the universal utility of mathematics within all fields of science;
 Explain how mathematics is a discipline based on rigorous proofs and logical deduction.
Last updated: 2 May 2024
Structure
125 credit points
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: Details of stream specific requirements can be found at the Graduate Diploma in Science entry and participation requirements page.
Level 2
Students should select 50 points of level 2 options to meet the prerequisites for their level 3 choices.
Students must take:
Code  Name  Study period  Credit Points 

MAST20005  Statistics 
Summer Term (On Campus  Parkville)
Semester 2 (On Campus  Parkville)

12.5 
Plus one of:
Code  Name  Study period  Credit Points 

MAST20026  Real Analysis 
Semester 1 (On Campus  Parkville)
Semester 2 (On Campus  Parkville)

12.5 
MAST20033  Real Analysis: Advanced  Semester 1 (On Campus  Parkville) 
12.5 
Plus one of:
Code  Name  Study period  Credit Points 

MAST20004  Probability 
Semester 1 (On Campus  Parkville)
Semester 2 (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 prerequisites for level 3 options below.
Level 3
Students must select 50 points of level 3 subjects.
Students must take both of:
Code  Name  Study period  Credit Points 

MAST30001  Stochastic Modelling  Semester 2 (On Campus  Parkville) 
12.5 
MAST30025  Linear Statistical Models  Semester 1 (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) one of any other level 3 subject offered by the Department of Mathematics and Statistics.
Level 9
Plus: 25 points of level 9 subjects selected from listed discipline subjects in the Master of Science (Mathematics and Statistics) program.
Last updated: 2 May 2024