C04373v2 Master of Quantitative Finance
Award(s): Master of Quantitative Finance (MQF)CRICOS code: 088930G
Commonwealth supported place?: No
Load credit points: 72
Course EFTSL: 1.5
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
Articulation with UTS courses
Other information
Overview
The Master of Quantitative Finance provides the full gamut of specialised quantitative finance skills and development of professional competency required to be a quantitative finance specialist performing at the cutting edge of the discipline.
Participants have the opportunity to see the application of quantitative finance to advanced financial instruments, an integrated approach to risk management and how to implement quantitative finance strategies.
The quantitative finance program 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.
Career options
Career options for graduates include positions as quantitative analysts, risk management analysts, quantitative structures, quantitative developers, forecasters, traders, investment analysts and financial engineers across investment banks, trading banks, hedge funds, investment management companies, consulting companies, energy and mining companies, regulatory bodies and government organisations.
Course intended learning outcomes
| 1.1 | Analyse: Access and critically analyse data and apply advanced mathematical and statistical methods to financial and risk management problems. |
| 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 for financial and business decisions. |
| 2.1 | Analyse: Critically analyse new financial models to address financial trading and risk management issues. |
| 2.2 | Synthesise: Develop and implement complex models to make financial and business decisions. |
| 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 substantial negative impacts on society. |
| 3.3 | Evaluate: Collaborate to implement statistical and mathematical solutions to complex problems arising in the financial and related sectors. |
| 4.1 | Analyse: Derive innovative solutions to complex problems in quantitative finance. |
| 4.2 | Synthesise: Master sufficient 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 statistical, 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 culturally respectful practices when applying financial knowledge as related to Aboriginal and Torres Strait Islander communities. |
| 6.2 | Synthesise: Integrate Aboriginal and Torres Strait Islander cultural values into professional practice in the area of quantitative finance. |
| 6.3 | Evaluate: Incorporate Aboriginal and Torres Strait Islanders knowledge when applying the results of quantitative finance models. |
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.
Previous academic qualification with strong quantitative background. Entry to the course is at the discretion of the course director.
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 with a writing score of 50; or C1A/C2P: 176-184 with a writing score of 169.
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 24 credit points of recognition of prior learning.
Course duration and attendance
The course is normally completed in one year of full-time study or three years of part-time study.
Course structure
The course comprises 72 credit points of core subjects.
Course completion requirements
| STM91515 Core Subjects (M Quantitative Finance) | 72cp | |
| Total | 72cp |
Course program
Typical full-time and part-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 | ||
| 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 | |
| Summer session | ||
| 37008 Quantitative Portfolio Analysis | 8cp | |
| 37006 Numerical Methods in Finance | 8cp | |
| 37003 Computational Methods and Model Implementation | 8cp | |
| Spring commencing, full time | ||
| Year 1 | ||
| 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 | |
| Autumn commencing, part time | ||
| Year 1 | ||
| Autumn session | ||
| 37011 Financial Market Instruments | 8cp | |
| 37010 Statistics and Financial Econometrics | 8cp | |
| Spring session | ||
| 37007 Probability Theory and Stochastic Analysis | 8cp | |
| 37009 Risk Management | 8cp | |
| Summer session | ||
| 37008 Quantitative Portfolio Analysis | 8cp | |
| 37006 Numerical Methods in Finance | 8cp | |
| Year 2 | ||
| Autumn session | ||
| 37005 Fundamentals of Derivative Security Pricing | 8cp | |
| Spring session | ||
| 37004 Interest Rates and Credit Risk Models | 8cp | |
| Summer session | ||
| 37003 Computational Methods and Model Implementation | 8cp | |
| Spring commencing, part time | ||
| Year 1 | ||
| Spring session | ||
| 37007 Probability Theory and Stochastic Analysis | 8cp | |
| 37009 Risk Management | 8cp | |
| Summer session | ||
| 37008 Quantitative Portfolio Analysis | 8cp | |
| 37006 Numerical Methods in Finance | 8cp | |
| Year 2 | ||
| Autumn session | ||
| 37011 Financial Market Instruments | 8cp | |
| 37010 Statistics and Financial Econometrics | 8cp | |
| Spring session | ||
| 37004 Interest Rates and Credit Risk Models | 8cp | |
| Summer session | ||
| 37003 Computational Methods and Model Implementation | 8cp | |
| Year 3 | ||
| Autumn session | ||
| 37005 Fundamentals of Derivative Security Pricing | 8cp | |
Articulation with UTS courses
This course is part of an articulated program comprising the Graduate Diploma in Quantitative Finance (C07132) and the Master of Quantitative Finance.
Other information
Further information is available from:
UTS Student Centre
telephone 1300 ask UTS (1300 275 887)
or +61 2 9514 1222
Ask UTS