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Master of Quantitative Finance

Master advanced quantitative finance, risk management, and financial engineering skills at UTS.

Best for:Best for analytical graduates with a strong mathematical or finance background seeking careers as quantitative analysts or financial engineers.

University of Technology Sydney (UTS) · City, Australia · R1 · First-stage researcher
More professors at University of Technology Sydney (UTS)
quantitative financerisk managementfinancial engineeringasset pricingderivatives
This is a masters position — not a PhD studentship.
Deadline
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Location
City
Australia

Overview

The Master of Quantitative Finance at the University of Technology Sydney provides specialised quantitative finance training and develops professional competence for modern financial industries. Participants explore advanced financial instruments, integrated risk management frameworks, and quantitative trading strategies. The curriculum equips graduates for analytical and technical roles across investment banks, hedge funds, and consulting firms. Entry is managed through the UTS Business School with rigorous academic and mathematical prerequisites.

quantitative analystfinancial mathematicsrisk analysistrading strategiesinvestment bankinghedge funds

What you'll do

  • Complete advanced coursework in quantitative finance and financial mathematics
  • Analyze complex financial instruments and valuation models
  • Implement integrated risk management strategies
  • Develop quantitative trading and forecasting models
  • Engage with practical case studies and industry-relevant projects

Requirements

Degree required: Bachelor's degree or equivalent in finance or a strongly related mathematical discipline

Degree offered: Master Degree (By Coursework)

Language: English; Academic IELTS 6.5 overall with a writing score of 6.0, or TOEFL paper-based 550-583 with TWE 4.5, internet-based 79-93 with writing 21, AE5 Pass, PTE 58-64, or CAE 176-184

Instruction: English

Required skills
  • Strong background in mathematics or quantitative finance
  • Completed UTS recognized bachelor's degree or equivalent qualification
  • Demonstrated potential to pursue graduate-level academic studies
Nice to have
Prior academic or professional experience in finance or bankingProgramming experience in languages such as Python, C++, or R for financial modeling
Eligibility
  • Must meet the university's general admission criteria and English proficiency requirements

Funding & terms

Type
Unknown
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Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
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How to apply

Applicants must submit their application through the official UTS course portal with all required academic transcripts and proof of English proficiency. Entry to the course is subject to review and discretion by the course director.

Documents required
  • BSc or undergraduate transcripts
  • Proof of English proficiency
↗Check programme and admissions

Contact

Lab
UTS Business School
University of Technology Sydney (UTS)
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.