University of Technology Sydney

C04419v1 Master of Mathematics and Quantitative Finance

Award(s): Master of Mathematics and Quantitative Finance (MMathQF)
CRICOS code: 104624C
Commonwealth supported place?: No
Load credit points: 96
Course EFTSL: 2
Location: City campus

Overview
Career options
Course intended learning outcomes
Admission requirements
Recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course program
Other information

Overview

The Master of Mathematics and Quantitative Finance provides the opportunity to acquire the detailed specialised knowledge and the professional competency required to work as a quantitative finance analyst in the modern finance industry, performing at the cutting edge of the discipline.

This program enables participants without, or with limited quantitative background to undertake an internationally recognised quantitative finance program through a fully integrated postgraduate program comprising mathematics, statistics and computer programming, before advancing to focussed skills and knowledge in financial economics, stochastic analysis, financial mathematics, numerical and computational methods.

Career options

Career opportunities for graduates include quantitative analyst, risk analyst, quantitative structurer, quantitative developer, forecaster, trader, investment analyst and financial engineer across investment banks, trading banks, hedge funds, and investment management firms, consulting companies, energy and mining companies, regulatory bodies and government organisations

Course intended learning outcomes

1.1 Analyse: access and critically analyse financial data and apply complex financial models to facilitate decision making in financial trading and risk management contexts.
1.2 Synthesise: Demonstrate specialised technical expertise in the field of quantitative finance as expected for a senior professional position in industry, commerce or government.
1.3 Evaluate: Critically analyse, question and evaluate implications of alternative and new models and strategies for financial market trading and risk management.
2.1 Analyse: Critically analyse new financial models to address financial trading and risk management issues.
2.2 Synthesise: Investigate real-world problems by analysing and critically evaluating different solutions to complex challenges.
2.3 Evaluate: Evaluate the application of new research in quantitative finance to complex real world problems.
3.1 Analyse: Demonstrate an awareness of ethical responsibilities of a professional working in the financial sector.
3.2 Synthesise: Develop an awareness of ethical solutions to quantitative finance problems that can result in systemic risk and major impact on society
3.3 Evaluate: Collaborate to implement mathematical solutions to complex problems arising in the finance and related sectors.
4.1 Analyse: Derive innovative solutions to complex problems in quantitative finance.
4.2 Synthesise: Master quantitative finance technical skills necessary for professional practice.
4.3 Evaluate: Develop the capacity to anticipate and respond to change in quantitative finance.
5.1 Analyse: Convey mathematical and financial models clearly and fluently, in high quality written form appropriate for their audience.
5.2 Synthesise: Develop and communicate complex solutions.
5.3 Evaluate: Prepare and deliver advanced, professional presentations to different audiences to convey problem statements and solutions and place the work in the context of other scholarly research.
6.1 Analyse: Use ethically appropriate and respectful practices when applying mathematical knowledge as related to Aboriginal and Torres Strait Islander communities.
6.2 Synthesise: Acquire cultural awareness for the relevant ethical and respectful practices, when developing community relations.
6.3 Evaluate: Integrate Aboriginal and Torres Strait Islander knowledges and practices when relevant for applying the results of mathematical analysis

Admission requirements

Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.

The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 176-184.

Eligibility for admission does not guarantee offer of a place.

International students

Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.

Recognition of prior learning

Students may be granted a maximum of 36 credit points of recognition of prior learning.

Course duration and attendance

The course is normally completed in 1.5 years of full-time study or three years of part-time study.

Course structure

The course comprises 96 credit points of core subjects.

Course completion requirements

STM91463 Core Subjects (Quantitative Finance) 72cp
STM91543 Core Subjects (Mathematics) 24cp
Total 96cp

Course program

Typical full-time programs are provided below, showing a suggested study sequence for students undertaking the course with Autumn and Spring session commencements.

Autumn commencing, full time
Year 1
Autumn session
37001 Postgraduate Mathematics 1   8cp
37002 Postgraduate Statistics 1   8cp
37000 Postgraduate Programming 1   8cp
Spring session
37004 Interest Rates and Credit Risk Models   8cp
37007 Probability Theory and Stochastic Analysis   8cp
37009 Risk Management   8cp
Summer session
37008 Quantitative Portfolio Analysis   8cp
37006 Numerical Methods in Finance   8cp
37003 Computational Methods and Model Implementation   8cp
Year 2
Autumn session
37005 Fundamentals of Derivative Security Pricing   8cp
37011 Financial Market Instruments   8cp
37010 Statistics and Financial Econometrics   8cp
Spring commencing, full time
Year 1
Spring session
37001 Postgraduate Mathematics 1   8cp
37002 Postgraduate Statistics 1   8cp
37000 Postgraduate Programming 1   8cp
Summer session
37008 Quantitative Portfolio Analysis   8cp
37006 Numerical Methods in Finance   8cp
37003 Computational Methods and Model Implementation   8cp
Year 2
Autumn session
37005 Fundamentals of Derivative Security Pricing   8cp
37011 Financial Market Instruments   8cp
37010 Statistics and Financial Econometrics   8cp
Spring session
37004 Interest Rates and Credit Risk Models   8cp
37007 Probability Theory and Stochastic Analysis   8cp
37009 Risk Management   8cp

Other information

Further information is available from:

UTS Student Centre
telephone 1300 ask UTS (1300 275 887)
or +61 2 9514 1222
Ask UTS