Graduate Certificate in Data Science in Quantitative Finance

Admissions information

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• Course description arrow_forward_ios

  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. What sets this course apart is its blend of machine learning theory with practical applications, coupled with advanced quantitative methods, equipping you with a competitive edge in the industry.

  You will acquire advanced technical skills in data science applications relevant to quantitative finance, reinforced through practical examples and case studies.

  Your learning experience will be hands-on, with a focus on real-world applications, ensuring you can immediately apply your new skills in the workplace.

  The subjects in this course are technical in nature and focus on quantitative finance applications through examples and case studies. The course aims to extend technical skills acquired in quantitative finance or other technical specialisations.

• Important dates arrow_forward_ios

  Find out more about application dates relating to this course

• Scholarships and prizes arrow_forward_ios

  Discover our scholarships for undergraduate, postgraduate and research students. Our scholarships celebrate diversity and academic excellence. Use the scholarship search tool to find the right scholarship for you.

  Scholarships for domestic students

  Scholarships for international students

• Admission requirements arrow_forward_ios

  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.

• Domestic course fees arrow_forward_ios

  2025 Indicative tuition fees for domestic students

  As a postgraduate student, you'll be responsible for covering your own tuition fees.

  2025 Tuition Fee

  • Indicative first-year tuition fee:  $46,420.00
  • Indicative total tuition fee:  $46,420.00

  You can choose to pay your fees upfront per session, or if you’re eligible, you can defer them using a government FEE-HELP loan. This loan helps you cover all or part of your tuition fees. Keep in mind that applications for this loan are specific to each 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.
 

• Inherent requirements arrow_forward_ios

  Inherent requirements are academic and non-academic requirements that are essential for successfully completing a course at UTS. You can find the inherent requirements for your course via the inherent requirements directory.

• Recognition of prior learning arrow_forward_ios

  No exemptions are granted as recognition of prior learning.

• Transfer between UTS courses arrow_forward_ios

  Students who complete C11307 Graduate Certificate in Data Science in Quantitative Finance can transfer into C04418 Master of Data Science in Quantitative Finance and receive full recognition of prior learning for the subjects already completed.