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Graduate Studies in the Mathematical Sciences

Fundamental advances in mathematics are increasingly being applied to solve major problems in the biological and physical sciences, information technology and finance. For high level research training come to the Mathematical Sciences Institute (MSI) at The Australian National University.

The ANU was rated Australia's top research University by Asiaweek in June 2000, and was included in an international peer group with Oxford, Cambridge, Harvard, Stanford, MIT and the Sorbonne in the London Times Higher Education Supplement.

The Mathematical Sciences Institute has exceptionally strong academic programs in both theoretical mathematics and contemporary applications. Moreover, the MSI uniquely combines the Faculties and the Institute components of the ANU, providing the opportunity to acquire teaching experience as a PhD student as well as enjoying the ANU's world-renowned research environment.

If you would like a first-hand look at the MSI, we encourage you to come visit us with financial support from our Visiting Scholar Scheme.

Mathematical Sciences graduate degrees

The ANU offers a number of graduate degrees relevant to the Mathematical Sciences Institute:

Graduate Courses

The following graduate courses are available to graduate students. The special topics courses are offered subject to staff availability and student demand.

Information on these courses, their availability, the choice of special topics and their timetabling is provided at a meeting held at 10am on the first Monday of each semester in room JD G35

It is strongly recommended that all graduate students consult the Department in the selection of their courses. The graduate coursework convenor is Dr John Urbas.

1st Semester 2009	2nd Semester 2009
Group 1 Courses
-	MATH6100: Bioinformatics and Biological Modelling (Alexander Isaev)
MATH6110: Analysis 1: Metric spaces and Applications (Ben Andrews)	MATH6118: Algebra 1: Groups, Rings and Advanced Linear Algebra (Jim Borger)
MATH6109: Probability Modelling with Applications (Damien Bankovsky)	MATH6115: Mathematical Finance (David Heath)
MATH6103: Scientific and Industrial Modelling (Barry Croke)	MATH6102: Environmental Modelling and Integrated Assessment (Tony Jakeman)
MATH6111: Scientific Computing (Linda Stals)	MATH6112: Matrix Computations and Optimisation (Paul Leopardi)
-	MATH6114: Number Theory and Cryptography (John Cossey)
-	MATH6116: Fractal Geometry and Chaotic Dynamics (Michael Barnsley)

Group 2 Courses
MATH6215: Algebra 2: Field extensions and Galois Theory (Jim Borger)	MATH6213: Complex Analysis (Alexander Isaev)
MATH6212: Analysis 2: Topology, Lebesgue Integration and Hilbert Spaces (John Hutchinson)	MATH6214: Analysis 3: Functional Analysis, Spectral Theory and Applications (Andrew Hassell)
MATH6205: Differential Geometry (John Urbas)	MATH6202: Theory of Partial Differential Equations (John Urbas)
MATH6203: Foundations of Mathematics (Martin Ward)	MATH6204: Algebraic Topology (Bryan Wang)
-	MATH6210: Data Mining (John Maindonald)
Group 2 Special Topics Courses (Not guaranteed to be available every year, topics change)
MATH6209: Special Topics in Mathematical Sciences	MATH6209: Special Topics in Mathematical Sciences
MATH6211: Topics in Mathematical Physics	MATH6211: Topics in Mathematical Physics
MATH6201: Topics in Computational Mathematics	MATH6201: Topics in Computational Mathematics
MATH6208: Advanced Bioinformatics	MATH6208: Advanced Bioinformatics
MATH6200: Topics in Algebra and Topology	MATH6200: Topics in Algebra and Topology
MATH6206: Topics in Stochastic Analysis	MATH6206: Topics in Stochastic Analysis
MATH6207: Topics in Statistical Science	MATH6207: Topics in Statistical Science

Useful Links

In the meantime, follow the links below for more information.

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