Master of Mathematical Sciences (Advanced)

at Australian National University

Program Structure

The Master of Mathematical Sciences (Advanced) requires the completion of 96 units, of which:

72 units must come from completion of the coursework component

24 units must come from completion of the research component

A minimum of 24 units must come from completion of 8000-level courses

The 96 units must consist of:

A minimum of 48 units from the completion of coursework courses from the following list:

• MATH6100 Bioinformatics and Biological Modelling (6 units)

• MATH6102 Environmental Modelling and Integrated Assessment (6 units)

• MATH6103 Scientific and Industrial Modelling (6 units)

• MATH6109 Probability Theory with Applications (6 units)

• MATH6110 Analysis 1: Metric spaces and Applications (6 units)

• MATH6111 Scientific Computing (6 units)

• MATH6112 Matrix Computations (6 units)

• MATH6114 Number Theory and Cryptography (6 units)

• MATH6115 Stochastic Analysis with Financial Applications (6 units)

• MATH6116 Fractal Geometry Chaotic Dynamics (6 units)

• MATH6118 Algebra 1: Groups, Rings and Advanced Linear Algebra (6 units)

• MATH6119 Numerical Optimisation (6 units)

• MATH6201 Topics in Computational Mathematics (6 units)

• MATH6202 Theory of Partial Differential Equations (6 units)

• MATH6203 Foundations of Mathematics (6 units)

• MATH6204 Algebraic Topology (6 units)

• MATH6205 Differential Geometry (6 units)

• MATH6208 Topics in Bioinformatics (6 units)

• MATH6209 Special Topic in Mathematical Sciences (6 units)

• MATH6211 Topics in Mathematical Physics (6 units)

• MATH6212 Analysis 2: Topology, Lebesgue Integration and Hilbert Spaces (6 units)

• MATH6213 Complex Analysis (6 units)

• MATH6214 Analysis 3: Functional Analysis, Spectral theory and Applications (6 units)

• MATH6215 Algebra 2: Field extensions and Galois Theory (6 units)

• MATH6216 Algebra 3: Advanced Topics in Algebra (6 units)

• MATH6222 Introduction to Mathematical Thinking: Problem Solving and Proofs (6 units)

• MATH6405 Ordinary Differential Equations and Advanced Vector Calculus (6 units)

• MATH6406 Partial Differential Equations, Fourier Analysis and Complex Analysis (6 units)

• MATH8702 Mathematics Reading Course (6 units, which may be completed more than once under different topics)

A maximum of 24 units from completion of quantitative courses from the following subject areas:

• STAT- Statistics

• ECON- Economics

• COMP- Computer Science

• ANU Electives

24 units from completion of the following research component:

• MATH8701 Mathematics Research Project, which may be taken more than once over consecutive semesters

Students must achieve a minimum 70% Weighted Average Mark in the first 48 units and have the approval of an identified supervisor for the research project to remain enrolled in the Master of Mathematical Sciences (Advanced) and continue to the research component.

If the total number of units attempted exceeds 48 in the same teaching period in which the 48th unit is attempted, exactly 48 units will be used in the calculation of the weighted average mark with units from the course with the highest mark applied first followed by further units from courses in descending order of marks.

Students who do not achieve a minimum 70% Weighted Average Mark or do not have the approval of an identified supervisor will be transferred to the Master of Science in Mathematical Sciences or the Graduate Diploma of Science.

Master Research

This degree has been accredited at AQF Level 9 with a significant component of Research. 

Master Research Training

This degree has been accredited at AQF Level 9 with a significant component of Research.

At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not automatically guarantee entry.

Applicants must present a Bachelor degree or international equivalent

• with a minimum GPA of at least 5.5/7.0

• with at least 8 courses in a cognate discipline, which must also have a minimum GPA of 5.5/7.0.

The GPA requirement for this program must be met by both the program as a whole, as well as by the 8 courses in a cognate discipline. Where more than 8 cognate courses have been completed by the applicant, ANU will take the best 8 courses when assessing the cognate GPA.

Academic achievement & English language proficiency

The minimum academic requirement for full entry and enrolment is a Bachelor degree or international equivalent with a minimum GPA of 5.5/7.0. 

However, applicants will first be ranked on a GPA ('GPA1') that is calculated using all but the last semester (or equivalent) of the Bachelor degree used for admission purposes. 

If required, ranking may further be confirmed on the basis of: 

• a GPA ('GPA2') calculated on the penultimate and antepenultimate semesters (or equivalent) of the Bachelor degree used for admission purposes; and/or

• demonstrating higher-level English language proficiency. 

Prior to enrolment in this ANU program, all students who gain entry will have their Bachelor degree reassessed, to confirm minimum requirements were met.

The annual indicative fee provides an estimate of the program tuition fees for international students and domestic students (where applicable). The annual indicative fee for a program is based on the standard full-time enrolment load of 48 units per year (unless the program duration is less than 48 units). Fees for courses vary by discipline meaning that the fees for a program can vary depending on the courses selected. Course fees are reviewed on an annual basis and typically will increase from year to year. The tuition fees payable are dependent on the year of commencement and the courses selected and are subject to increase during the period of study.

Annual indicative fee for international students

$48,802

Employment Opportunities

Roles our graduates hold include Associate, Quantitative Applications Division at Macquarie Group; Lecturer, Sanata Dharma University (Indonesia); and Visiting Assistant Professor of Managerial Economics and Decision Sciences, Kellogg School of Management (USA).

Areas such as biological sciences and computational science are becoming increasingly reliant on advanced techniques from the mathematical sciences. The Master of Mathematical Science will equip you with quantitative skills in this areas, as well as act as a pathway to a PhD.