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Applied Mathematics
Graduate Diploma in ScienceInformal specialisationYear: 2018
Applied Mathematics
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: 30 January 2024
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.
-
All of:
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST20009 | Vector Calculus |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST20026 | Real Analysis |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST20030 | Differential Equations | 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 |
Level 3
Both of:
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST30021 | Complex Analysis |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST30028 | Numerical Methods & Scientific Computing | Semester 2 (On Campus - Parkville) |
12.5 |
Plus at least one of:
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST30001 | Stochastic Modelling | Semester 2 (On Campus - Parkville) |
12.5 |
MAST30030 | Applied Mathematical Modelling | Semester 1 (On Campus - Parkville) |
12.5 |
MAST30031 | Methods of Mathematical Physics | 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
Code | Name | Study period | Credit Points |
---|---|---|---|
Master of Science (Mathematics and Statistics) | No longer available |
Links
http://graduate.science.unimelb.edu.auLast updated: 30 January 2024