Master of Data Science in Quantitative Finance

The UTS postgraduate Quantitative Finance program is recognised in Australia and overseas as a leading qualification for aspiring and established quantitative finance professionals

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 Mathematics and 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.

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Master of Data Science in Quantitative Finance

CODE

UTS: C04418 (version 2)

CRICOS: 107831E

DURATION

2 years full time
4 years part time

INTAKE

Autumn Session 2025
Spring Session 2025
Autumn Session 2026
Spring Session 2026

View important dates

COURSE FEES

Indicative total tuition fee for government-supported domestic students
$9,375

Indicative total tuition fee for domestic students
$91,657

LOCATION

City campus

What you’ll study

This degree is designed for individuals from diverse backgrounds who wish to transition into a career in quantitative finance.

First, you’ll build core competencies in multivariable calculus, linear algebra, probability, statistics, and computer programming.

From there, you’ll progress to advanced Quantitative finance subjects, developing your competencies in areas like financial instruments, derivative securities, quantitative risk management, and interest rate and credit risk modelling, underpinned by a strong foundation in probability theory, stochastic analysis and financial econometrics.

Subjects at a glance

Core subjects

Subject Code	Subject Name
37004	Interest Rates and Credit Risk Models
37005	Fundamentals of Derivative Security Pricing
37007	Probability Theory and Stochastic Analysis
37011	Financial Market Instruments
37009	Risk Management
37010	Statistics and Financial Econometrics
37400	Postgraduate Optimisation
37457	Advanced Bayesian Methods
37401	Machine Learning: Mathematical Theory and Applications
35112	Mathematical Research Project A
35113	Mathematical Research Project B

See all subjects and majors in the UTS Handbook

Typical course program

The outline below shows an example program for the Master of Mathematics and Quantitative Finance based on a full-time study load. Please note that your exact program may differ based on your unique circumstances, such as your commencement date, subject selections and recognition of prior learning.

4

core Mathematics subjects
10

core Quantitative Finance subjects

First year

You'll commence your postgraduate studies by undertaking a range of mathematics and professional stream subjects. You'll build expertise in calculus, algebra and probability, and acquire vital scientific communication skills.
Second year

You’ll proceed to a more advanced study of mathematics, including multivariable calculus, probability theory, and stochastic analysis, and statistics and commence studies into financial derivative securities, interest rate models, and risk management.
Third year

Finalising your studies, you'll undertake a comprehensive study of financial market instruments, quantitative management practice, and financial econometrics.

First year

You'll commence your postgraduate studies by undertaking a range of mathematics and professional stream subjects. You'll build expertise in calculus, algebra and probability, and acquire vital scientific communication skills.

Second year

You’ll proceed to a more advanced study of mathematics, including multivariable calculus, probability theory, and stochastic analysis, and statistics and commence studies into financial derivative securities, interest rate models, and risk management.

Third year

Finalising your studies, you'll undertake a comprehensive study of financial market instruments, quantitative management practice, and financial econometrics.

See typical course program in the UTS Handbook

Course highlights

Throughout this course, you’ll study and master advanced mathematics and statistics concepts required to embark on a specialist study of quantitative finance. You'll then get the chance to acquire a sophisticated, practical toolkit of quantitative finance competencies, such as financial security and derivatives valuation, risk management and quantitative portfolio analysis, scaffolded by probability theory, stochastic analysis and financial econometrics.

Admissions information

This course is tailored for both aspiring and established quantitative finance professionals seeking to navigate the evolving financial landscape marked by accelerated financial innovation, the emergence of new risks, and major regulatory changes.

You will undertake subjects on financial market instruments, derivative security pricing, risk management, and interest rate modelling, 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.

Through a year-long research project, you will study and apply advanced computational, numerical and statistical methods to solve industry-relevant financial problems and learn to report and communicate insights to various audiences. Learning occurs through a combination of current, industry-relevant subjects and hands-on experience, ensuring you stay abreast of market demands and gain the competencies needed for a cutting-edge career in quantitative finance.

Upon completion, you will be well-equipped for a successful career in financial institutions, consulting, or government in roles such as quantitative analyst, data scientist, risk analyst, or investment analyst.
Course content is comprised of 11 subjects, including six subjects from the Master of Quantitative Finance. Students engage with the in-depth study of financial market instruments, probability theory, and credit and market risk, among others, and diversify their skill sets with specialist study in machine learning, Bayesian methods and mathematical research.

They also learn to apply their theoretical learning to industry-relevant assignments in areas such as derivative security pricing and hedging, valuation of financial instruments, market and credit risk measurement and management, and machine learning.
To be eligible for admission to this course, applicants must meet the following criteria.
Applicants must have the following:
- 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
Eligibility for admission does not guarantee offer of a place.
2025 Indicative tuition fees for government-supported domestic students

This course offers a limited number of Commonwealth Supported Places (CSP). This means the Australian Government contributes to your education costs, and you pay the remaining tuition fees, known as the student contribution. If eligible, you can defer payment through HECS-HELP, or you can choose to pay your fees upfront each session.

CSP applications are reviewed continuously by the university and offered based on merit, so we recommend applying early to be considered. Learn more about applying for a CSP, eligibility and key dates.

2025 Tuition Fees
- Indicative first-year tuition fee: $4,627
- Indicative Total tuition fee: $9,375
Tuition fees are reviewed annually, with any new rates effective from the beginning of each calendar year. The total indicative tuition fee includes estimated annual increases over the duration of the course.

Additional Costs

Your tuition fees do not include:
- The Student Services and Amenities Fee (SSAF), which supports student services and activities. If eligible, you can defer this fee using SA-HELP.
- Textbooks, materials, and other course-related costs.
- Any applicable payment processing fees (e.g., credit card surcharges).
Important Information
- Fees are shown in Australian Dollars (AUD).
- The indicative tuition fees above are based on full-time study (1 year = 48 credit points).
- Your actual fees depend on the year you enrol, your study load and the subjects you choose. Some subjects fall into different student contribution bands.
- You can calculate your student contribution based on the amounts listed in the student contribution table.
Alumni Advantage Program

As a UTS graduate, you can enjoy a 10% discount on your course fees. Just apply for the course you're interested in, and if you're accepted, the discount will automatically be applied to your enrolment invoice. Learn more about the Alumni Advantage Program.

If you have any questions about course fees, please feel free to make an enquiry.

Information for Masters by Research students: Government-funded scholarship places available

As a recipient of the Australian Government’s Research Training Program (RTP) Fees Offset Scholarship, you do not have to pay tuition fees for up to the maximum period of candidature. However, even with this scholarship, you should expect ongoing costs that aren’t covered, like travel, training, and professional development. These costs can vary for each person, so it’s important to plan accordingly. Additionally, scholarships are available to help with your living expenses.

Important details: The RTP Fees Offset Scholarship covers your tuition fees, but please note that it doesn’t include additional costs related to studying or conducting research. Additional fees for domestic students. For more information visit Research student fees.

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Jumbunna Admission Program

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Changing from another postgraduate course

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Careers

Your future career

As a graduate of this program, you'll be in possession of a highly sought-after skillset, putting you in the enviable position to kick-start a lucrative career in the growing, rewarding field of quantitative finance.

You'll be equipped with an in-depth understanding of financial instruments and markets, financial risk management, probability theory, stochastic analysis and financial econometrics. With these in-demand capabilities, you'll be ready to discover the limitless possibilities that await you in leading financial institutions, consultancies, regulatory bodies, government organisations and more.

Career options

Where you’ll study

Our world-class facilities support your future-focused learning and high-impact research. They enable effective partnerships with industry and provide services to our community.

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Why UTS?

Why study Science and Mathematics at UTS

With a science and maths degree at UTS, you'll learn how to answer the big questions of tomorrow and make a positive social impact. We offer practical, relevant and innovative programs that enable you to work across multiple fields.

Study in world-class facilities, including Australia's first Super Lab, and look for trace in our forensic crime scene labs or explore speciality maths, computing, and quantum physics facilities stocked with the latest industry equipment.