Mathematics and statistics research

Our broad and multidisciplinary research spans areas of pure and applied mathematics and statistics.

Our research themes

  • Applied mathematics

    The Applied Mathematics Group has interests across the fields of colloid science, medicine, chemical engineering and materials processing.

  • Data science

    Data science combines aspects of statistics, computer science, and mathematics in order to organise, analyse, and extract knowledge from data sets.

  • Discrete mathematics

    Discrete mathematics is the study of mathematical structures that are by nature discrete rather than continuous. It includes combinatorics and graph theory.

  • Learning and teaching innovation

    This group fosters innovations in learning and teaching for tertiary mathematics and statistics.

  • Mathematical biology

    Mathematical, statistical and computational methods are crucial in many areas of modern biological research. Conversely, technological advances in biology allow more data, often of a novel type or at a finer resolution, to be collected, resulting in new challenges that are motivating research in mathematics, statistics and computational methods.

  • Mathematical physics

    Mathematical Physics is the study of the mathematics associated with models of the physical world.

  • Operations research

    Operations Research (OR) provides a scientific approach to decision making. It involves formulating mathematical models of these problems, and developing mathematical tools to obtain solutions.

  • Pure mathematics

    Pure math is the study of the intrinsic concepts and structural properties underlying modern mathematics. Its purpose is to search for a deeper understanding and an expanded knowledge of mathematics itself.

  • Statistics

    Statistics is the science of collecting, organising and interpreting data. Mathematical descriptions of the data collection processes and the statistical analysis are used to determine accurate statistical methods.

  • Stochastic processes

    This group studies a variety of areas, from the theory of branching processes to applications such as stochastic models of the stock market.

Prospectus

Research within the School of Mathematics and Statistics covers areas of pure and applied mathematics and statistics. A broad school with an international reputation, we have research foci in Algebra, Continuum Modelling, Discrete Mathematics, Geometry and Topology, Operations Research, Mathematical Biology, Mathematical Physics, Stochastic Processes, Statistics, and Data Science.

Explore our research prospectus to find out what projects our leading academics are investigating.

Download the prospectus  (PDF 6.8 MB)