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 2019

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+ 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.

PrerequisitesMATHS 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. 

PrerequisitesMATHS 332

Strongly recommended: MATHS 333


Complex Analysis

An introduction to functions of one complex variable, including Cauchy's integral formula, the index formula, Laurent series and the residue theorem. Many applications are given including a three line proof of the fundamental theorem of algebra. Complex analysis is used extensively in engineering, physics and mathematics.

Prerequisites: MATHS 332

Strongly recommended: MATHS 333


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 2019

Special Topics in Mathematics Education 1

PrerequisiteMATHS 302 or significant teaching experience or department approval


Logic and Set Theory

A study of the foundations of pure mathematics, formalising the notions of a 'mathematical proof' and 'mathematical structure' through predicate calculus and model theory. It includes a study of axiomatic set theory.

PrerequisitesMATHS 315 or PHIL 305


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


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.

PrerequisitesMATHS 332 and 333

Recommended preparation: MATHS 730 and 750


Algebraic Geometry

Algebraic geometry is a branch of mathematics studying zeros of polynomials. The fundamental objects in algebraic geometry are algebraic varieties i.e., solution sets of systems of polynomial equations.

PrerequisitesMaths 332 and at least one of MATHS 320, 328

Restriction: MATHS 334


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