
Overview
The Data Science in Quantitative Finance degree is delivered by the University of Technology Sydney (UTS) .
Key Facts
With the accelerating pace of technology-driven financial innovation, there is greater demand for professionals who can leverage quantitative skills in financial problem solving. If you want to broaden your mathematical and statistical skillset and launch a career in the ever-changing world of finance, the UTS Master of Data Science in Quantitative Finance is the course for you.
Designed by industry experts and leading academics, this program will shape you into an advanced quantitative finance professional, ready to apply your critical mathematical and statistical skills to pressing challenges in quantitative research and analysis, portfolio and asset management, risk management and more. You’ll be prepared to kick-start a lucrative future where you'll use mathematics and statistics to create innovative financial solutions.
You’ll undertake subjects in financial market instruments, derivative security pricing, risk management and more, underpinned by core competencies in probability theory, stochastic analysis, optimisation and financial econometrics. This is further supplemented by specialist studies in machine learning and Bayesian analysis.
Going beyond theory, you'll apply your learning in industry-relevant practical assignments in the valuation and hedging of financial instruments and derivatives and the modelling and management of financial risk. You’ll also undertake a quantitative finance and data science research project under the supervision of one of our expert academics.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Probability and Stochastic Analysis
- Financial Market Instruments
- Statistics and Financial Econometrics
- Interest Rates and Credit R
- Risk Management
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 24 months
- Part-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
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- Starting
- Apply before , International
- Apply before , National
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Language
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Credits
Delivered
Campus Location
- Sydney, Australia
Disciplines
Finance Data Science & Big Data View 96 other Masters in Finance in AustraliaExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Other requirements
General requirements
- Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in a related discipline with a substantial quantitative component in mathematics, statistics, engineering, computer science, physical sciences, econometrics, or mathematical finance
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Technology Sydney (UTS) and/or in Australia, please visit Student Insurance Portal.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
48096 AUD/yearTuition FeeBased on the tuition of 1002 AUD per credit during 24 months.
- A small number of postgraduate courses offer government subsidised Commonwealth Supported Places (CSP).
Living costs for Sydney
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science in Quantitative Finance.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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