Applied Mathematics Specialisation

 

In the Applied Mathematics specialisation, students develop the principles and techniques that allow mathematicians to develop models of the world around us. Such models enable mathematicians to predict the changes in environmental, chemical and financial systems that will occur as inputs change.

In the first three semesters of your degree your program depends upon your studies and results at VCE level.

VCE Study Score Semester 1 Semester 2 Semester 3
≥25 in VCE Mathematics Methods 3/4
and no (or <30 in) VCE Specialist Mathematics 3/4
MAST10005 Calculus 1 MAST10006 Calculus 2
and
MAST10007 Linear Algebra**
MAST20009 Vector Calculus
and
MAST20026 Real Analysis
29 to 40 in VCE Specialist Mathematics 3/4 MAST10006 Calculus 2 MAST10007 Linear Algebra MAST20009 Vector Calculus
and
MAST20026 Real Analysis
≥38 in VCE Specialist Mathematics 3/4 MAST10008 Accelerated Mathematics 1 MAST10009 Accelerated Mathematics 2 MAST20009 Vector Calculus

[Optional Subject
MAST20004 Probability]

**May be done over summer.

In addition, students who do not already have evidence of competence in computer programming (see note) must complete one of the following computing subjects:

Subject Notes
COMP10001 Foundations of Computing This subject can be taken in semester 1, 2, 3 or 4 of the degree programme.
COMP20005 Engineering Computation This subject is usually taken in semester 3 or 4 of the degree programme.
ENGR10003 Engineering Systems Design 2 is recommended as background knowledge for COMP20005 but is not required.
PHYC20013 Laboratory and Computational Physics First-year physics is required as a prerequisite for PHYC20013.
This subject can be taken in semester 3 or 4 of the dgeree programme.

Note: Students who have other evidence of competence in computer programming are not required to complete a computing subject. Other evidence could include passing a relevant Year 12 school subject, or a statement of acheivement from a relevant MOOC, or passing a programming competency test administered by another University of Melbourne School.

In semesters 4 to 6 students do a common course.

  Semester 4 Semester 5 Semester 6
Core subjects MAST20030 Differential Equations MAST30021 Complex Analysis
MAST30028 Numerical Methods & Scientific Computing
plus choose at least two of   MAST30030 Applied Mathematical Modelling**

MAST30031 Methods of Mathematical Physics

MAST30001 Stochastic Modelling*

Notes:
*Students wishing to take MAST30001 must take MAST20004 Probability or MAST20006 Probability for Statistics in semester 3 of their degree.
**It is possible for students who have completed MAST20029 with a grade of H1 or H2A to enrol in this subject. Please seek course advice from a Mathematics & Statistics course adviser if you are in this situation.