12 monthsProgramme duration
48,080 AUDTuition Fee/year
Feb, JulStarting Month
Programme overview
Main Subject
Finance
Degree
Other
Study Level
Masters
Study Mode
On Campus
This course is tailored for both aspiring and established quantitative finance professionals seeking to navigate the evolving financial landscape marked by accelerated financial innovation, the emergence of new risks, and major regulatory changes.
Through this course, you will obtain core competencies in financial instruments, derivative securities, quantitative risk management, quantitative portfolio analysis and interest rate and credit risk modelling, underpinned by a strong foundation in probability theory, stochastic analysis, financial econometrics, and numerical and computational methods.
Through a capstone project, you’ll apply your theoretical learning to an industry-relevant problem on financial valuation, risk management, portfolio optimisation and model implementation or validation. Learning occurs through a combination of current, industry-relevant subjects and hands-on experience, ensuring you stay abreast of market demands and gain the competencies needed for a cutting-edge career in quantitative finance.
Upon completion, you will be well-equipped for a successful career in financial institutions, consulting, or government in roles such as quantitative analyst, data scientist, risk analyst, or investment analyst.
Course content is comprised of nine subjects that have been specifically designed for this degree and that are frequently updated to keep pace with industry need.
Students engage with the in-depth study of derivative securities, financial market instruments, probability theory, credit risk, market risk, and numerical and computational methods, among others. They also learn to apply their theoretical learning to industry-relevant assignments in areas such as risk management, valuation of financial instruments, hedging of risks and model implementation.
Programme overview
Main Subject
Finance
Degree
Other
Study Level
Masters
Study Mode
On Campus
This course is tailored for both aspiring and established quantitative finance professionals seeking to navigate the evolving financial landscape marked by accelerated financial innovation, the emergence of new risks, and major regulatory changes.
Through this course, you will obtain core competencies in financial instruments, derivative securities, quantitative risk management, quantitative portfolio analysis and interest rate and credit risk modelling, underpinned by a strong foundation in probability theory, stochastic analysis, financial econometrics, and numerical and computational methods.
Through a capstone project, you’ll apply your theoretical learning to an industry-relevant problem on financial valuation, risk management, portfolio optimisation and model implementation or validation. Learning occurs through a combination of current, industry-relevant subjects and hands-on experience, ensuring you stay abreast of market demands and gain the competencies needed for a cutting-edge career in quantitative finance.
Upon completion, you will be well-equipped for a successful career in financial institutions, consulting, or government in roles such as quantitative analyst, data scientist, risk analyst, or investment analyst.
Course content is comprised of nine subjects that have been specifically designed for this degree and that are frequently updated to keep pace with industry need.
Students engage with the in-depth study of derivative securities, financial market instruments, probability theory, credit risk, market risk, and numerical and computational methods, among others. They also learn to apply their theoretical learning to industry-relevant assignments in areas such as risk management, valuation of financial instruments, hedging of risks and model implementation.
Admission Requirements
To be eligible for admission to this course, applicants must meet the following criteria.
Applicants must have one of the following:
- Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in mathematical sciences, mathematical finance, insurance and actuarial studies, or a related field of study with a substantial quantitative component for example, physics and astronomy, engineering and related technology, computer science, banking, finance, and economics and econometrics
Applicants who do not meet the criteria above should consider applying for C04419 Master of Mathematics and Quantitative Finance.
Eligibility for admission does not guarantee offer of a place.
Tuition fees
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