S6003 Master of Mathematics
Faculty of Science
Master of Mathematics (S6003) is a 2 years full-time, 96-credit-point, master's degree (coursework) course from the Faculty of Science, taught at Clayton. Map your units semester by semester with the MonMap planner.
- Credit points
- 96
- Duration
- 2 years full time
- 4 years part time
- Campus
- Clayton
- On campus
Reviews
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Requisite map
Overview
Mathematics underpins our way of life and our prosperity. Its importance ranges from fundamental developments enabling new technologies, to theories backing up scientific research, to analyses of our physical and societal environments.
The program is designed for graduates with a bachelor degree and a strong foundation in mathematics. You will acquire advanced knowledge and skills in mathematics, and the capacity to use them to tackle complex problems in a variety of situations. The flexible coursework offering ensures that you can compose a program to suit your interests, from pure mathematics that develops the core theory, to statistics and applied and computational mathematics that extend this theory to bring practical solutions to real-world problems. All these fields contribute to a far-reaching and comprehensive master's program. The combination of coursework and project equips graduates of the program with advanced knowledge and skills that make them employable in industry, or prepare them for doctoral studies.
Course structure
Part A. Foundation studies24 credit points
- MTH3011Partial differential equationsNo reviews yet6 cp
- MTH3020Complex analysis and integral transformsNo reviews yet6 cp
- MTH3060Advanced ordinary differential equationsNo reviews yet6 cp
- MTH3110Differential geometryNo reviews yet6 cp
- MTH3130Topology: The mathematics of shapeNo reviews yet6 cp
- MTH3137Number theory and cryptography (Advanced)No reviews yet6 cp
- MTH3140Real analysisNo reviews yet6 cp
- MTH3141Algebra 1: Group theoryNo reviews yet6 cp
- MTH3150Algebra 2: Rings and fieldsNo reviews yet6 cp
- MTH3160Metric spaces, Banach spaces, Hilbert spacesNo reviews yet6 cp
- MTH3170Network mathematicsNo reviews yet6 cp
- MTH3230Time series and random processes in linear systemsNo reviews yet6 cp
- MTH3241Random processes in the sciences and engineeringNo reviews yet6 cp
- MTH3251Financial mathematicsNo reviews yet6 cp
- MTH3260Statistics of stochastic processesNo reviews yet6 cp
- MTH3320Computational linear algebraNo reviews yet6 cp
- MTH3330Optimisation and operations researchNo reviews yet6 cp
- MTH3340Numerical methods for partial differential equationsNo reviews yet6 cp
- MTH3360Fluid dynamicsNo reviews yet6 cp
Part B. Discipline studies24 credit points
Note. Units can be selected across multiple disciplines rather than from a single discipline in mathematics.
Pure mathematics
24 credit points- MTH4110Differential geometryNo reviews yet6 cp
- MTH4130Topology: The mathematics of shapeNo reviews yet6 cp
- MTH4150Algebra 2: Rings and fieldsNo reviews yet6 cp
- MTH4160Metric spaces, Banach spaces, Hilbert spacesNo reviews yet6 cp
- MTH4170Network mathematicsNo reviews yet6 cp
- MTH4020Complex analysis and integral transformsNo reviews yet6 cp
- MTH4060Advanced ordinary differential equationsNo reviews yet6 cp
Applied and computational mathematics
24 credit pointsPart C. Advanced discipline studies48 credit points
- One of MTH5000 or MTH5835 and four units (24 credit points) from any of the following disciplines in mathematics;
OR
- MTH5805 Minor mathematics master project and six units (36 credit points) from any of the following disciplines in mathematics.
Note: Units can be selected across multiple disciplines rather than from a single discipline.
- MTH5000Mathematics master projectNo reviews yet24 cp
- MTH5805Minor mathematics master projectNo reviews yet12 cp
- MTH5835Mathematics industry placementNo reviews yet24 cp
Pure mathematics
24 credit points- MTH5099Measure theoryNo reviews yet6 cp
- MTH5111Differential geometryNo reviews yet6 cp
- MTH5113Low-dimensional topologyNo reviews yet6 cp
- MTH5115Algebraic topologyNo reviews yet6 cp
- MTH5118Dynamical systemsNo reviews yet6 cp
- MTH5123Partial differential equationsNo reviews yet6 cp
- MTH5141Computational group theoryNo reviews yet6 cp
- MTH5143Representation theoryNo reviews yet6 cp
- MTH5151Advanced graph theoryNo reviews yet6 cp
- MTH5153CombinatoricsNo reviews yet6 cp
Applied and computational mathematics
24 credit points- MTH5311Methods of applied mathematicsNo reviews yet6 cp
- MTH5323Advanced numerical analysis of partial differential equationsNo reviews yet6 cp
- MTH5331Nonlinear optimisationNo reviews yet6 cp
- MTH5333Discrete optimisationNo reviews yet6 cp
- MTH5341Fluid dynamics and turbulenceNo reviews yet6 cp
- MTH5343Magnetohydrodynamics and visualisation of scientific dataNo reviews yet6 cp
- MTH5351Mathematical biologyNo reviews yet6 cp
Statistics
24 credit points- MTH5210Stochastic calculus and mathematical financeNo reviews yet6 cp
- MTH5240Mixing of Finite Markov chainsNo reviews yet6 cp
- MTH5510Quantitative risk managementNo reviews yet6 cp
- MTH5520Interest rate modellingNo reviews yet6 cp
- MTH5530Computational methods in financeNo reviews yet6 cp
- MTH5220The theory of martingales in discrete timeNo reviews yet6 cp
- MTH5230Markov chains and random walksNo reviews yet6 cp
- MTH5540Statistical learning in financeNo reviews yet6 cp
- MTH5550Quantitative trading and market microstructureNo reviews yet6 cp
Special topics
12 credit pointsProfessional units
6 credit pointsThe handbook's description of this structure
The course is structured in three parts: Part A. Foundation studies, Part B. Intermediate studies, Part C. Advanced studies.
Part A. Foundation studies
These studies strengthen your foundations in the field of mathematics. You will choose studies that complement your current knowledge of mathematics, in one or more of the areas of Statistics, or Pure, Applied and Computational mathematics.
Part B. Discipline studies
These studies consolidate your knowledge in one or more fields in mathematics.
Part C. Advanced discipline studies
These studies provide you with advanced knowledge in modern theories and applications of mathematics which will enable you to bring innovative solutions to problems within or outside mathematics. Through a research project you will develop project management and independent research skills. There is a wide range of units to choose from across Pure mathematics, Applied and Computational mathematics and statistics. You can complement your discipline studies with professional development learning.
Master's entry points
Depending on prior qualifications you may receive entry level credit (a form of block credit) which determines your point of entry to the course:
If you are admitted at entry Level 1 you complete 96 credit points, comprising Part A, Part B and Part C.
If you are admitted at entry Level 2 you complete 72 credit points, comprising Part B and Part C.
If you are admitted at entry Level 3 you complete 48 credit points, comprising Part C.
Note: If you are eligible for credit for prior studies you may elect not to receive the credit and complete one of the higher credit-point options.
Course progression map
The course progression map provides guidance on unit enrolment for each semester of study.
The course is structured in three parts: Part A. Foundation studies (24 credit points), Part B. Intermediate studies (24 credit points), Part C. Advanced studies (48 credit points).
Units are 6 credit points unless otherwise stated.
Part A. Foundation studies (24 credit points)
You complete 24 credit points in mathematics not previously completed in your undergraduate degree:
MTH3011 Partial differential equations
MTH3020 Complex analysis and integral transforms
MTH3060 Advanced ordinary differential equations
MTH3110 Differential geometry
MTH3141 Algebra 1: Group theory
MTH3130 Topology: The mathematics of shape
MTH3137 Number theory and cryptography (Advanced)
MTH3140 Real analysis
MTH3150 Algebra 2: rings and fields
MTH3160 Metric spaces, Banach spaces, Hilbert spaces
MTH3170 Network mathematics
MTH3230 Time series and random processes in linear systems
MTH3241 Random processes in the sciences and engineering
MTH3251 Financial mathematics
MTH3260 Statistics of stochastic processes
MTH3320 Computational linear algebra
MTH3330 Optimisation and operations research
MTH3340 Numerical methods for partial differential equations
MTH3360 Fluid dynamics
Part B. Discipline studies (24 credit points)
You complete 24 credit points from any of the following disciplines in mathematics.
Note: Units can be selected across multiple disciplines rather than from a single discipline in mathematics.
Pure mathematics
MTH4110 Differential geometry
MTH4130 Topology: The mathematics of shape
MTH4150 Algebra 2: Rings and fields
MTH4160 Metric spaces, Banach spaces, Hilbert spaces
MTH4170 Network mathematics
MTH4020 Complex analysis and integral transforms
MTH4060 Advanced ordinary differential equations
Applied and computational mathematics
MTH4015 Partial differential equations
MTH4320 Computational linear algebra
MTH4330 Optimisation and operations research
MTH4340 Numerical methods for partial differential equations
MTH4360 Fluid dynamics
Statistics
MTH4230 Time series and random processes in linear systems
MTH4241 Random processes in the sciences and engineering
MTH4251 Financial mathematics
MTH4260 Statistics of stochastic processes
Part C. Advanced studies (48 credit points)
You complete:
- One of MTH5000 or MTH5835 and four units (24 credit points) from any of the following disciplines in mathematics;
OR
- MTH5805 Minor mathematics master project and six units (36 credit points) from from any of the following disciplines in mathematics
Note: Units can be selected across multiple disciplines rather than from a single discipline.
MTH5000 Mathematics master project (24 credit points)
MTH5835 Mathematics industry placement (24 credit points)
MTH5805 Minor mathematics master project (12 credit points)
Pure mathematics
MTH5099 Measure theory
MTH5111 Differential geometry
MTH5113 Low-dimensional topology
MTH5115 Algebraic topology
MTH5118 Dynamical Systems
MTH5123 Partial differential equations
MTH5141 Computational group theory
MTH5143 Representation Theory
MTH5151 Advanced graph theory
MTH5153 Combinatorics
Applied and computational mathematics
MTH5311 Methods of applied mathematics
MTH5323 Advanced numerical analysis of partial differential equations
MTH5331 Nonlinear optimisation
MTH5333 Discrete optimisation
MTH5341 Fluid dynamics and turbulence
MTH5343 Magnetohydrodynamics and visualisation of scientific data
MTH5351 Mathematical biology
Statistics
MTH5210 Stochastic calculus and mathematical finance
MTH5240 Mixing of finite Markov chains
MTH5510 Quantitative risk management
MTH5520 Interest rate modelling
MTH5530 Computational methods in finance
MTH5220 The theory of martingales in discrete time
MTH5230 Markov chains and random walks
MTH5540 Statistical learning in finance
MTH5550 Quantitative trading and market microstructure
Special topics
MTH5010 Special topics in advanced mathematics 1
MTH5020 Special topics in advanced mathematics 2
Professional units
You complete the following unit or other relevant professional development unit approved by the course director.
FIT5147 Data exploration and visualisation
Learning outcomes
These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.
Upon successful completion of this course it is expected that you will be able to:
- 1
apply advanced concepts and critically analyse principal themes in modern mathematics, encompassing Statistics, Pure Mathematics, Applied Mathematics, and Computational Mathematics.
- 2
apply critical thinking, high-level problem solving, research skills and advanced mathematical techniques within quantitative contexts and in complex problem solving
- 3
convey ideas and results effectively to technical and non-technical audiences alike and in a variety of formats in a professional context
- 4
work competently, independently and collaborate effectively in an interdisciplinary, academic and/or professional context
Entry requirements
English language
Monash Level A, that is: IELTS (Academic): 6.5 overall (no band lower than 6.0); or Pearson Test of English (Academic): score of 58 overall with no band lower than 50; or TOEFL Internet-based test: score of 79 overall with minimum scores: Writing: 21, Listening: 12, Reading: 13 and Speaking: 18; or Equivalent approved English test
More information
Progression to further studies
Successful completion of this course may provide a pathway to a graduate research degree.
Other information
Mathematics underpins our way of life and our prosperity. Its importance ranges from fundamental developments enabling new technologies, to theories backing up scientific research, to analyses of our physical and societal environments.
The program is designed for graduates with a bachelor degree and a strong foundation in mathematics. You will acquire advanced knowledge and skills in mathematics, and the capacity to use them to tackle complex problems in a variety of situations. The flexible coursework offering ensures that you can compose a program to suit your interests, from pure mathematics that develops the core theory, to statistics and applied and computational mathematics that extend this theory to bring practical solutions to real-world problems. All these fields contribute to a far-reaching and comprehensive master's program. The combination of coursework and project equips graduates of the program with advanced knowledge and skills that make them employable in industry, or prepare them for doctoral studies.
Contacts
- Academic Coordinator
- Dr Gregory Markowsky
Common questions
How long is Master of Mathematics?
2 years full time, 96 credit points. At 24 credit points a semester, that is 4 semesters of full-time study.
Where can I study Master of Mathematics?
At Clayton.
How do I plan my Master of Mathematics units?
Open the course in the MonMap planner. It lays out your semesters, checks prerequisites as you drag units in, and tracks the credit points each requirement still needs.