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ANU is the best place in Australia to study maths and thanks to our small class sizes, you’ll have direct access to some of the best mathematicians in the world.

We have an exceptionally strong research programs in both theoretical mathematics and contemporary applications.

Make an original contribution to human knowledge, research and development with this postgraduate degree.

Rowena Bell
Monday, 08 Apr 2024
bob dewar
Monday, 08 Apr 2024

MSI pays tribute to Em/Prof. Robert (Bob) Leith Dewar.

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Flying high: from circus school to a maths degree
Tuesday, 12 Dec 2023

It’s not a massive leap to go from circus performer to mathematics graduate, says Grover Lancaster-Cole, from the ANU Mathematical Sciences Institute.

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Portrait of a man standing inside a building

Why maths’ bad reputation doesn’t add up

Associate Professor Adam Piggott knows how mathematical ideas can transform our world, and he wishes more people were in on the secret.
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Exploring the mathematical universe – connections, contradictions, and kale

Exploring the mathematical universe – connections, contradictions, and kale

Pure mathematics often yields unanticipated applications, but without a time machine to look into the future, how do mathematicians like me choose…
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Cracked Earth showing lava underneath it

ANU researchers speed up earthquake simulation software

“Faster, more efficient software,” “speedups and code profiling,” and “parallel programming” – these were the central takeaways from the two-week…
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naidoc
17 Jul 2025 | 10 - 11am

Indigenous mathematics in the finest, most effective, long-distance, communication system in the world

Professor Rowena Ball will be giving a talk on indigenous mathematics, in order to celebrate the NAIDOC week
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Jordan Pitt
31 Jul 2025 | 5:30 - 6:30pm

Sea^2 = Play^2 + Me^2

Join us for a public lecture from Senior Lecturer and Associate Dean Indigenous Strategy & Services Jordan Pitt (University of Sydney). Light refreshments will be served afterwards.
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toptime
27 Oct 2025 | 9am - 31 Oct 2025 | 5pm

Topological methods for time-varying data: theory and applications (Top Time)

Topological Data Analysis (TDA) is a research area at the intersection of Algebra, Topology, Geometry, Statistics and Machine Learning. While methods from TDA have been applied successfully to data from a variety of domains — from financial mathematics, to materials science, climate science, biomedical imaging, or social science —, there has been less work done on studying in a principled way how such methods can be applied to data that changes dynamically over time. The goal of this workshop is to bring together experts in TDA with experts in application domains in which time-varying data is particularly prevalent. Examples include time series in climate modelling and financial mathematics, as well as dynamic networks in epidemiology and social science modelling.
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