Program Overview

Graduate Certificate in Data Science in Quantitative Finance

The Graduate Certificate in Data Science in Quantitative Finance is designed to meet the evolving needs of finance with advanced data science training. This program is part of the Faculty of Science and comprises machine learning theory and applications, as well as advanced quantitative methods.

Course Description

This course is tailored for both aspiring and established quantitative finance professionals seeking to navigate the evolving financial landscape. Students 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.

Admission Requirements

To be eligible for admission to this course, applicants must have:

• Completed an Australian bachelor's degree or higher qualification, or overseas equivalent, in mathematics, statistics, or insurance and actuarial studies or other related fields with a substantial quantitative component.
• English language requirements: IELTS Academic overall 6.5, writing 6.0, TOEFL iBT overall 79, writing 21, UTS College AE5 Pass, Pearson PTE overall 58, writing 50, Cambridge C1A/C2P overall 176, writing 169.

Course Structure

The course requires completion of 24 credit points of core subjects, which are technical in nature and focus on quantitative finance applications through examples and case studies.

Duration and Intake

• Duration: 0.5 years full-time, 1 year part-time.
• Intake: Autumn Session and Spring Session.

Course Fees

• Indicative total tuition fee for domestic students: $24,255.00.
• Additional costs include the Student Services and Amenities Fee (SSAF), textbooks, materials, and other course-related costs.

Location

Classes are held at the City Campus or specialist off-campus locations, with some courses delivered via online (distance) learning.

Inherent Requirements

Inherent requirements are academic and non-academic requirements that are essential for successfully completing a course at UTS. These can be found via the inherent requirements directory.

Recognition of Prior Learning

No exemptions are granted as recognition of prior learning. However, students who complete the Graduate Certificate in Data Science in Quantitative Finance can transfer into the Master of Data Science in Quantitative Finance and receive full recognition of prior learning for the subjects already completed.

Related Courses

Related courses include the Master of Data Science in Quantitative Finance, Graduate Certificate in Data Science and Innovation, Graduate Certificate in Finance, and Graduate Certificate in Financial Analysis.