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Applied Mathematics
Graduate Diploma in ScienceInformal specialisationYear: 2024
Applied Mathematics
Overview
This specialisation of the Graduate Diploma allows students to expand their body of knowledge by completing the requirements of the Applied Mathematics 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 applied mathematics;
- Investigate the universal utility of mathematics within all fields of science; and
- 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 pre-requisites for their level 3 choices.
Students must take one of:
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| MAST20030 | Differential Equations | Semester 2 (On Campus - Parkville) |
12.5 |
Plus one of:
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| MAST20009 | Vector Calculus |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| MAST20032 | Vector Calculus: Advanced | Semester 1 (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 |
Level 3
Students must select 50 points of level 3 subjects.
Students must take 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) 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