Graduate Diploma in Mathematics and Statistics (5659)

The UNSW Graduate Diploma in Mathematics and Statistics is a flexible program designed to deepen the mathematics or statistics knowledge gained in undergraduate studies. It is intended to students with a degree comprising a significant quantitative component, such as Science, Engineering or Finance, who wish to consolidate their mathematical background for further studies.

Entry Requirements

To enter the Graduate Diploma in Mathematics and Statistics program, students must:

  • have completed an undergraduate degree with a major in mathematics or statistics, or relevant level III mathematics and/or statistics university courses; and
  • have sufficient mathematical and/or statistical background, as indicated by an average of 65% or above in relevant level III mathematics and/or statistics university courses.

Prospective international students should note that this program has English language requirements as well.


A formal application must be made online. It must include a copy of the past academic transcripts of the applicant, as well as any relevant information (work experience, certificates, etc.) evidencing the aptitude of the applicant to undertake the program.

Entry to this program is available in February (Term 1), June (Term 2) or September (Term 3). Applicants must be aware of the application closing dates.


All coursework post-graduate programs at UNSW are fee-paying.

All the postgraduate programs offered by the UNSW School of Mathematics and Statistics are Commonwealth Supported, meaning that domestic students may benefit from a contribution of the Australian Government towards the cost of their education. 

For international applicants, please refer to International Fees.

Program structure and courses

The program consists of 48 units of credit (UoC), that is, 8 elective courses.


The 8 elective courses must be chosen from the list of postgraduate courses offered by the School of Mathematics and Statistics (all MATH5XXX courses, except for MATH5846 and MATH5856). Those courses include, but are not limited to:

  • MATH5165 Optimisation
  • MATH5175 Special Topic in Applied Mathematics I
  • MATH5185 Special Topic in Applied Mathematics II
  • MATH5215 Special Topic in Applied Mathematics III
  • MATH5231 Prediction and Inverse Modelling
  • MATH5271 Environmental Data Science
  • MATH5285 Fluids, Oceans and Climate
  • MATH5295 Special Topic in Applied Mathematics IV
  • MATH5305 Computational Mathematics
  • MATH5335 Computational Methods for Finance
  • MATH5361 Stochastic Differential Equations: Theory, Applications, and Numerical Methods
  • MATH5425 Graph Theory
  • MATH5505 Combinatorics
  • MATH5515 Special Topic in Pure Mathematics I
  • MATH5525 Noncommutative Harmonic Analysis
  • MATH5535 Special Topic in Pure Mathematics II
  • MATH5605 Functional Analysis
  • MATH5615 Banach and Operator Algebras
  • MATH5645 Algebraic Number Theory
  • MATH5665 Algebraic Topology
  • MATH5685 Complex Analysis
  • MATH5715 Harmonic Analysis
  • MATH5725 Galois Theory
  • MATH5735 Modules and Representation Theory
  • MATH5765 Algebraic Geometry
  • MATH5785 Geometry
  • MATH5805 Special Topics in Statistics
  • MATH5806 Applied Regression Analysis
  • MATH5816 Continuous Time Financial Modelling
  • MATH5825 Measure, Integration & Probability
  • MATH5826 Statistical Methods in Epidemiology
  • MATH5835 Advanced Stochastic Processes
  • MATH5836 Data Mining and its Business Applications
  • MATH5845 Time Series
  • MATH5855 Multivariate Analysis
  • MATH5885 Longitudinal Data Analysis
  • MATH5895 Nonparametric Statistics
  • MATH5901 Stochastic Processes
  • MATH5905 Statistical Inference
  • MATH5945 Categorical Data Analysis
  • MATH5960 Bayesian Inference & Computation
  • MATH5965 Discrete Time Financial Modelling
  • MATH5975 Introduction to Stochastic Analysis
  • MATH6781 Biomathematics

Note that only a subset of those courses are offered in any given term and year. The list of courses offered in the current year can be found here.

Program structure

A full-time student should complete the Graduate Diploma program over three successive terms. The number of courses undertaken on each term remains at the discretion of the student, provided that it does not exceed the normal full load of study (maximum18 UoC on any given term). This structure is flexible. In particular, part-time students are free to reshape it over more than 3 terms in the most suitable way for them, provided that it stays in agreement with the relevant University policies.


The Graduate Diploma in Mathematics and Statistics (program 5659) and the Master programs (Financial Mathematics, program 8161; Mathematics, program 8719; Statistics, program 8750) form an articulated sequence. Conditionally on academic performance (overall average mark over 70%), students may choose not to graduate with the Graduate Diploma, but instead upgrade to any of the Master programs. Credits accumulated during the Graduate Diploma program are automatically transferred toward any of the Master degrees, when relevant.

Further Assistance


Dr Jakub Stoklosa
Director of Postgraduate Studies (Coursework)
School of Mathematics and Statistics
UNSW Sydney NSW 2052 Australia

Inquiries via email must be sent to