Department of Mathematics

Postgraduate courses

Thinking about postgraduate study? Explore your postgraduate course options at the Department of Mathematics.

For Mathematics postgraduate course advice, email our postgraduate advisors.



Semester One 2018

Special Topic: Mathematical Task Design

Prerequisite: MATHS 302 or significant teaching experience or department approval


Graph Theory and Combinatorics

A study of combinatorial graphs (networks), designs and codes illustrating their application and importance in other branches of mathematics and computer science.

Prerequisites: B+ pass in MATHS 326 or 320


Group Theory

A study of groups focusing on basic structural properties, presentations, automorphisms and actions on sets, illustrating their fundamental role in the study of symmetry (for example in crystal structures in chemistry and physics), topological spaces, and manifolds.

Prerequisites: MATHS 320


Measure Theory and Integration

Presenting the modern elegant theory of integration as developed by Riemann and Lebesgue, it includes powerful theorems for the interchange of integrals and limits so allowing very general functions to be integrated, and illustrates how the subject is both an essential tool for analysis and a critical foundation for the theory of probability. 

Prerequisites: MATHS 332

Strongly recommended: MATHS 333


Analysis on Manifolds and Differential Geometry

Studies surfaces and their generalisations, smooth manifolds, and the interaction between geometry, analysis and topology; it is a central tool in many areas of mathematics, physics and engineering. Topics include Stokes' theorem on manifolds and the celebrated Gauss Bonnet theorem. 

Prerequisites: MATHS 332

Strongly recommended: MATHS 333 and 340


Advanced Partial Differential Equations

A study of exact and approximate methods of solution for the linear partial differential equations that frequently arise in applications.

Prerequisites: B- in both MATHS 340 and 361


Mathematical Modelling

Advanced topics in mathematical modelling, including selected topics in a range of application areas, principally taken from the physical and biological sciences.

Prerequisites: At least B- or better in both MATHS 340 and 361


Stochastic Differential and Difference Equations

Differential and difference equations are often used as preliminary models for real world phenomena. The practically relevant models that can explain observations are, however, often the stochastic extensions of differential and difference equations. This course considers stochastic differential and difference equations and applications such as estimation and forecasting.

Prerequisites: B- in both MATHS 340 and 361


Advanced Numerical Analysis

Covers the use, implementation and analysis of efficient and reliable numerical algorithms for solving several classes of mathematical problems. The course assumes students have done an undergraduate course in numerical methods and can use Matlab or other high-level computational language.

Prerequisites: B- in MATHS 270, 340 and 361


Semester Two 2018

Special Topic: Mathematical Knowledge for Teaching

Prerequisite: MATHS 302 or significant teaching experience or department approval


Number Theory

A broad introduction to various aspects of elementary, algebraic and computational number theory and its applications, including primality testing and cryptography.

Prerequisites: B+ in MATHS 328 or 320


Representations and Structure of Algebras and Groups

Representation theory studies properties of abstract groups and algebras by representing their elements as linear transformations of vector spaces or matrices, thus reducing many problems about the structures to linear algebra, a well-understood theory.

Prerequisites: MATHS 320


Functional Analysis

Provides the mathematical foundations behind some of the techniques used in applied mathematics and mathematical physics; it explores how many phenomena in physics can be described by the solution of a partial differential equation, for example the heat equation, the wave equation and Schrödinger's equation.

Prerequisites: MATHS 332 and 333

Recommended preparation: MATHS 730 and 750



Aspects of point-set, set-theoretic and algebraic topology including: properties and construction of topological spaces, continuous functions, axioms of separation, countability, connectivity and compactness, metrization, covering spaces, the fundamental group and homology theory.

PrerequisitesMaths 332

Strongly recommenedMaths 333


Dynamical Systems

Mathematical models of systems that change are frequently written in the form of nonlinear differential equations, but it is usually not possible to write down explicit solutions to these equations. This course covers analytical and numerical techniques that are useful for determining the qualitative properties of solutions to nonlinear differential equations.

Prerequisites: B- in both MATHS 340 and MATHS 361


Nonlinear Partial Differential Equations

A study of exact and numerical methods for non-linear partial differential equations. The focus will be on the kinds of phenomena which only occur for non-linear partial differential equations, such as blow up, shock waves, solitons and special travelling wave solutions.

Prerequisites: B- in both MATHS 340 and MATHS 361


Inverse Problems

Covers the mathematical and statistical theory and modelling of unstable problems that are commonly encountered in mathematics and applied sciences.

Prerequisites: At least B- in both MATHS 340 and 363, or PHYSICS 701



Other courses of interest


Topics in Statistical Education

This course covers a wide range of research in statistics education at school and tertiary level. An examination of the issues involved in statistics education in the curriculum, teaching, learning, technology and assessment areas is covered.

For advice: Maxine Pfannkuch