If you're looking to develop your career in economics or econometrics this course provides you with analytical and technical skills you need for the profession, as well as a solid grounding in commerce. The course will enable you to build your knowledge in one of the following specialisations: Applied Econometrics; Applied Economics and Econometrics or Business Economics.
You will engage in a comprehensive theoretical and practical curriculum across your chosen field and develop high-level expertise in applied economic and econometric tools.
The program also gives you the opportunity to undertake independent research in your chosen specialisation.
The course is structured in three parts. Part A. Advanced preparatory, Part B. Mastery knowledge and Part C. Application studies All students complete Part B. Depending on prior qualifications, you may receive credit for Part A or Part C or a combination of the two.
Part A. Advanced preparatory
These studies will introduce you to Economics and Econometrics at advanced undergraduate and graduate level. They are intended for students whose previous qualification is not in a cognate field (that is, not in a field likely to prepare them for advanced study in this field). Students admitted to the course, who have a recognised degree or a graduate certificate in a cognate discipline will receive credit for this part.
Part B. Mastery knowledge
These units will develop your capacity as a critical and creative professional who is able to apply your knowledge of a specialised area to provide discipline based solutions.
Part C. Application studies
This will enable you to further develop your knowledge of your specialisation, or more broadly, or alternatively to select any units from across the university in which you are eligible to enrol. Some students use these electives units to provide a research pathway towards a Doctor of Philosophy course.
Do you have an aptitude and passion for mathematics and statistics, a keen interest in finance and insurance and want to work for a major financial organisation in finance, insurance or the money market? This course will provide you with a deep understanding of the world of finance,and give you the ability to speak its 'language'. This course combines theory with hands-on practical skills via an industry placement or research project –ensuring you graduate with the right skills increasingly being sought by banks and other financial institutions.
The Master of Financial Mathematics offers advanced 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 this course are likely to enter specialist careers in research departments within banks, insurance and consultancy firms or derivatives of valuation and portfolio management within investment houses.
The School of Mathematical Sciences sits within the leading Faculty of Science at Monash University. This vibrant, dynamic and successful School is undergoing a period of growth with the appointment of several new senior academic staff including Professor Gregoire Loeper, Course Director for the Masters of Financial Mathematics. With mathematics as the fundamental underpinning of so many subject areas, sectors and disciplines, the School is also building ever stronger collaborations with relevant industries, including the financial sector.
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. Students admitted to the course who have a recognised honours degree or graduate diploma or graduate certificate in a cognate discipline including mathematics or statistics, will receive credit for this part however, should they wish to complete a 24 point research project as part of Part B they should consult with the course convenor