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  2. Graduate Diploma in Science
  3. Majors, Minors and Specialisations
  4. Applied Mathematics
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Applied Mathematics

Graduate Diploma in ScienceMajorYear: 2018

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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 100 points:

  • 50 points of study at Level 3;
  • 50 points of study at Level 2 or above.

Subject Options

Subject Prerequisites: both of MAST10006 Calculus 2 and MAST10007 Linear Algebra, or equivalents or both of MAST10008 Accelerated Mathematics 1 and MAST10009 Acceleraed Mathematics 2, or equivalents.

Level 2


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

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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

*Students who select MAST30001 Stochastic Modelling will need to have completed prerequisites MAST20004 Probability or MAST20006 Probability for Statistics in their second year.

Plus (if required as a fourth subject) any other third year level subject offered by the Department of Mathematics and Statistics

Links

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

Last updated: 30 January 2024