CourseMaster's Degree (Coursework)MFinMath

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 2020 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. Graduates of the program 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.

The master's program has three entry points. Depending on the level of mathematics gained, applicants may be admitted in the 96-point, the 72-point or the 48-point program.

Course structure

Part A: Orientation studies24 credit points
Part B: Specialist studies48 credit points
Part C: Applied professional practice24 credit points
You must complete one of the following options

Industry placement and research

24 credit points

Industry placement

24 credit points
You must complete the following unit

Industry research

24 credit points
You must complete the following unit
The 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. All students complete Part B. Depending upon prior qualifications, you may receive credit for Part A or Part C or a combination of the two.

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 financial econometrics, and advanced mathematical modelling and computational methods in finance. You will complement these with study in areas of your choice, including interest rate modelling, Markov processes, statistical learning in finance, and global financial markets.

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, through completing an industry project or an industry internship. If you are admitted to the course with a recognised honours degree or graduate diploma or graduate certificate in a cognate discipline including 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.

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).

If you are admitted at:

  • entry level 1 you complete 96 points, comprising Part A, Part B and Part C
  • entry level 2 you complete 72 points, comprising Part B and Part C
  • entry level 3 you complete 48 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.

Units are 6 points unless otherwise stated.

Part A: Orientation studies (24 points)

You complete two units from the following: 

  • 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

Plus two from the following list of units or from the list above not previously completed:

  • ETC3400 Principles of econometrics
  • ETC3420 Applied insurance methods
  • ETC3460 Financial econometrics
  • MTH3011 Partial differential equations
  • MTH3051 Introduction to computational mathematics
  • MTH3060 Advanced ordinary differential equations
  • MTH3140 Real analysis
  • MTH3310 Applied mathematical modelling
  • MTH3320 Computational linear algebra
  • MTH3330 Optimisation and operations research

Part B: Specialist studies (48 points)

You complete:

  • MTH5210 Stochastic calculus and mathematical finance
  • MTH5510 Quantitative risk management
  • MTH5520 Interest rate modelling
  • MTH5530 Computational methods in finance

Plus four units from the following:

  • BFF5230 Global financial markets
  • ETC5460 Financial econometrics 2
  • MTH5112 Partial differential equations 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

Part C: Applied professional practice (24 points)

You complete one of the following:

  • MTH5840 Minor industry placement (12 points) and MTH5820 Minor industry research project (12 points)
  • MTH5830 Industry placement (24 points)
  • 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. 1

    apply critical thinking, problem solving, and research skills within the finance and insurance context

  2. 2

    apply sophisticated stochastic modelling skills within the context of financial markets and the insurance industry

  3. 3

    apply advanced statistical techniques and skills to the analysis of financial and insurance data

  4. 4

    utilise high-level computational methodology to tackle complex financial and insurance problems

  5. 5

    convey ideas and results effectively to technical and non-technical audiences alike and in a variety of formats

  6. 6

    work competently, independently and in a collaborative manner in an interdisciplinary professional context.

Entry requirements

English language

Monash minimum: Level A, that is: IELTS: 6.5 overall (no band lower than 6.0); or TOEFL Paper-based test: 550 with a TWE of 4.5; 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 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. Graduates of the program 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.

The master's program has three entry points. Depending on the level of mathematics gained, applicants may be admitted in the 96-point, the 72-point or the 48-point program.

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.

Course details

Qualification
Master's Degree (Coursework)
AQF level
Level 9
Credit points
96
Full time
2 Years
Part time
4 Years
Maximum time
4 years
Faculty
Faculty of Science
CRICOS code
086157A
Abbreviation
MFinMath
Award titles
Graduate Certificate in Financial Mathematics (exit only)Master of Financial MathematicsGraduate Diploma in Financial Mathematics (exit only)