S6001 Master of Financial Mathematics
Faculty of Science
Master of Financial Mathematics (S6001) 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
This is the 2024 handbook entry. See the 2027 entry.
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Requisite map
Overview
Modern finance relies on deep mathematical concepts and techniques, assembled in what has come to be known as financial mathematics or quantitative finance. Financial institutions have developed an ever-increasing appetite for graduates with the right mix of advanced quantitative methods and modelling.
Monash offers a unique blend of expertise spread over four academic units (economics, econometrics, finance and mathematics). All units contribute to the master's program and maintain a close relationship with banks, investment firms, and research organisations in financial mathematics.
The master's program is designed to suit graduates with a sound foundation in mathematics and statistics. The program offers training in the core areas of stochastic, financial and insurance modelling, statistical analysis and computational methodology, as well as in a wide range of elective topics from economics, econometrics, finance, mathematics and probability. You will gain a comprehensive understanding of stochastic and statistical analysis, partial differential equations and computational methods in finance, financial econometric techniques, and financial and risk modelling.
You will develop the quantitative, mathematical, statistical and computing skills needed in financial, insurance and other related careers.
Course structure
Part A. Orientation studies24 credit points
Core units
12 credit pointsAdditional unit
Elective units
12 credit points- ETC3400Principles of econometricsNo reviews yet6 cp
- ETC3420Applied insurance methodsNo reviews yet6 cp
- ETC3460Financial econometricsNo reviews yet6 cp
- MTH3051Introduction to computational mathematicsNo reviews yet6 cp
- MTH3140Real analysisNo reviews yet6 cp
- MTH3320Computational linear algebraNo reviews yet6 cp
- MTH3330Optimisation and operations researchNo reviews yet6 cp
- MTH3160Metric spaces, Banach spaces, Hilbert spacesNo reviews yet6 cp
- MTH3230Time series and random processes in linear systemsNo reviews yet6 cp
Part B. Specialist studies48 credit points
Core units
30 credit points- MTH5210Stochastic calculus and mathematical financeNo reviews yet6 cp
- MTH5510Quantitative risk managementNo reviews yet6 cp
Additional units
Elective units
18 credit points- BFF5270Funds managementNo reviews yet6 cp
- BFX5260Treasury and financial marketsNo reviews yet6 cp
- ETX5460Advanced financial econometricsNo reviews yet6 cp
- FIT5197Statistical data modellingNo reviews yet6 cp
- FIT5201Machine learningNo reviews yet6 cp
- FIT9136Algorithms and programming foundations in PythonNo reviews yet6 cp
- MTH5010Special topics in advanced mathematics 1No reviews yet6 cp
- MTH5020Special topics in advanced mathematics 2No reviews yet6 cp
- MTH5220The theory of martingales in discrete timeNo reviews yet6 cp
- MTH5230Markov chains and random walksNo reviews yet6 cp
- MTH5331Nonlinear optimisationNo reviews yet6 cp
- MTH5540Statistical learning in financeNo reviews yet6 cp
Part C. Applied professional practice24 credit points
Option 1
24 credit pointsOption 2
24 credit pointsOption 3
24 credit pointsThe handbook's description of this structure
The course is structured in three parts: Part A. Orientation studies, Part B. Specialist studies, Part C. Applied professional practice.
Part A. Orientation studies
These studies provide an orientation to the field of financial mathematics. You will choose studies that complement your current knowledge relevant to financial mathematics, including principles of econometrics, mathematical methods and stochastic processes.
Part B. Specialist studies
These studies will provide you with advanced knowledge and skills relevant to thoughtful, innovative and evidence-based practice in financial modelling and analysis. You will acquire core knowledge of and skills in stochastic calculus, quantitative risk management, interest rate modelling and computational methods in finance. You will complement these with study in areas of your choice, including financial econometrics, Markov processes, statistical learning in finance, and machine learning.
Part C. Applied professional practice
These studies will provide you with the opportunity to apply your knowledge skills developed in Part A and B to 'real life' problems. For those who achieve a distinction average (70%) in Part B, you can complete a major industry project or industry internship. For those who do not meet this requirement, you can complete a minor industry project or industry internship, as well as taking additional elective units from mathematics, business/economics and IT, to further supplement your studies. If you are admitted to the course with a recognised honours or equivalent in mathematics or statistics, you will receive credit for this part. However, should you wish to complete a 24 point research project you should consult with the course coordinator.
Masters 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 B.
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 comprises 96 points structured into three parts: Part A. Orientation studies (24 points), Part B. Specialist studies (48 points) and Part C. Applied professional practice (24 points).
Units are 6 points unless otherwise stated.
Part A: Orientation studies (24 points)
Core units
You must complete the following unit:
- MTH3251 Financial mathematics
And one of the following units:
- MTH3241 Random processes in the sciences and engineering
- MTH3260 Statistics of stochastic processes
Elective units
You must complete two units from the following list of units or one unit from the core units above not previously completed and one unit from the list below:
- ETC3400 Principles of econometrics
- ETC3420 Applied insurance methods
- ETC3460 Financial econometrics
- MTH3051 Introduction to computational mathematics
- MTH3140 Real analysis
- MTH3320 Computational linear algebra
- MTH3330 Optimisation and operations research
- MTH3160 Metric spaces, Banach spaces, Hilbert spaces
- MTH3230 Time series and random processes in linear systems
Part B: Specialist studies (48 points)
Core units
You must complete the following two units:
- MTH5210 Stochastic calculus and mathematical finance
- MTH5510 Quantitative risk management
And three of the following units:
- MTH5520 Interest rate modelling
- MTH5530 Computational methods in finance
- MTH5550 Quantitative trading and market microstructure
- MTH5560 Partial differential equations for finance
Elective units
You must complete three units from the following list of units or one unit from the core units above not previously completed and two units from the list below:
- BFF5270 Funds management
- BFX5260 Treasury and financial markets
- ETX5460 Advanced financial econometrics
- FIT5197 Statistical data modelling
- FIT5201 Machine learning
- FIT9136 Algorithms and programming foundations in Python
- MTH5220 The theory of martingales in discrete time
- MTH5230 Markov chains and random walks
- MTH5540 Statistical learning in finance
- MTH5331 Optimisation for data analytics
- MTH5010 Special topics in advanced mathematics 1
- MTH5020 Special topics in advanced mathematics 2
Part C: Applied professional practice (24 points)
You complete one of the following options:
MTH5840 Minor industry placement (12 points) or MTH5820 Minor industry research project (12 points) plus two units, not previously completed from the list of Part B elective units.
or
MTH5830 Industry placement (24 points)
or
MTH5810 Industry research project (24 points)
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 critical thinking, problem solving, and research skills within the finance and insurance context
- 2
apply sophisticated stochastic modelling skills within the context of financial markets and the insurance industry
- 3
apply advanced statistical techniques and skills to the analysis of financial and insurance data
- 4
utilise high-level computational methodology to tackle complex financial and insurance problems
- 5
convey ideas and results effectively to technical and non-technical audiences alike and in a variety of formats
- 6
work competently, independently and in a collaborative manner in an interdisciplinary 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
Pathways
Articulation agreement: Central University of Finance and Economics (3+1+1) Exp: 16-Jun-24
More information
Progression to further studies
Successful completion of this course may provide a pathway to graduate research degree. To be eligible to apply for entry into the higher degree by research, you must achieve a distinction average (70%) in Part B and Part C in the Master of Financial Mathematics.
If you achieve a high distinction average (80%) in Part B and Part C in the Master of Financial Mathematics you may be eligible to apply for a scholarship.
Other information
Modern finance relies on deep mathematical concepts and techniques, assembled in what has come to be known as financial mathematics or quantitative finance. Financial institutions have developed an ever-increasing appetite for graduates with the right mix of advanced quantitative methods and modelling.
Monash offers a unique blend of expertise spread over four academic units (economics, econometrics, finance and mathematics). All units contribute to the master's program and maintain a close relationship with banks, investment firms, and research organisations in financial mathematics.
The master's program is designed to suit graduates with a sound foundation in mathematics and statistics. The program offers training in the core areas of stochastic, financial and insurance modelling, statistical analysis and computational methodology, as well as in a wide range of elective topics from economics, econometrics, finance, mathematics and probability. You will gain a comprehensive understanding of stochastic and statistical analysis, partial differential equations and computational methods in finance, financial econometric techniques, and financial and risk modelling.
You will develop the quantitative, mathematical, statistical and computing skills needed in financial, insurance and other related careers.
Contacts
- Academic Coordinator
- Dr Ivan Guo
Common questions
How long is Master of Financial 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 Financial Mathematics?
At Clayton.
How do I plan my Master of Financial 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.