Master of Data Science in Quantitative Finance (CRICOS course code 107831E) is a Masters Degree (Coursework) delivered by University of Technology Sydney (UTS) over 2 years. This AQF Level 9 program is classified under Mathematical Sciences (0101) and prepares graduates for roles at the intersection of data science and quantitative finance. As a CRICOS-registered course (provider code 00099F), it meets Australian Government standards for international student enrolment. University of Technology Sydney (UTS) is a government-funded institution located in the heart of Sydney, New South Wales. With over 1,556 CRICOS-registered providers across Australia offering 26,433 courses, this program represents a specialised pathway for students aiming to work in financial analytics, risk management, and algorithmic trading. HeadStart Academy sources all data directly from the official CRICOS register (April 2026) to ensure accuracy. Please note that fees are indicative and subject to change by the institution.
The Master of Data Science in Quantitative Finance (107831E) is a 2-year postgraduate degree focusing on the application of data science methods to financial markets. It sits within the field of Natural and Physical Sciences (01) and specifically Mathematical Sciences (0101). Graduates typically gain expertise in statistical modelling, machine learning, financial mathematics, and programming. The course is delivered entirely in English and leads to a single qualification without a mandatory work component.
At AQF Level 9, students engage with advanced theoretical and applied concepts. The curriculum covers areas such as probability theory, stochastic calculus, time series analysis, and computational finance. While specific units may vary, the broad educational goal is to equip graduates with the quantitative skills needed to solve complex problems in finance and data science. Students develop proficiency in data analytics tools and financial modelling, preparing them for roles in banking, investment, and fintech.
As recorded on the CRICOS register, this course has a duration of 104 weeks (2 years). Instruction is in English. It is a single qualification — not a dual degree or foundation program. There is no mandatory work component included.
Indicative tuition fee: A$100,490. Non-tuition fees: A$0. Estimated total: A$100,490. Please note that these fees are sourced from the CRICOS register and are subject to change. International students should also budget for Overseas Student Health Cover (OSHC), living expenses, and the Student visa application charge. For the most current fees, visit the University of Technology Sydney (UTS) website: www.uts.edu.au.
General entry expectations for this Masters level course include a recognised bachelor's degree in a relevant discipline (e.g., mathematics, statistics, computer science, finance) with a strong academic record. English language proficiency is required — typically IELTS 6.5-7.0 overall or equivalent. Specific prerequisites may apply. Foundation or pathway options may be available; check with UTS directly. Always confirm entry requirements on the provider's official website.
No work component. This course does not include a mandatory work placement or internship. However, students may undertake voluntary work or internships subject to visa conditions.
This course is delivered at the University of Technology Sydney (City Campus) in HAYMARKET, NSW. Sydney is home to over 100 CRICOS-registered providers and a large international student population (over 200,000). The city offers extensive public transport (trains, buses, light rail) connecting all campuses. Living costs in Sydney are among the highest in Australia — indicative weekly rent for a shared apartment is around A$300-500, groceries A$60-120, and public transport A$30-50 per week (with student concessions). These figures are a guide only.
International students on a Student visa (Subclass 500) can study this full-time course. Visa conditions include: maintaining enrolment, satisfactory attendance, valid OSHC, and sufficient financial capacity. Work rights allow up to 48 hours per fortnight during term and unlimited hours during scheduled breaks. All applicants must satisfy the Genuine Temporary Entrant (GTE) requirement. For detailed visa advice, consult the Department of Home Affairs or a MARA-registered agent.
Three steps to apply for Master of Data Science in Quantitative Finance at University of Technology Sydney (UTS):
1. **Research CRICOS-registered providers** — Use HeadStart Academy to filter by course level, field (Mathematical Sciences), and location (Sydney). Verify the provider's CRICOS code (00099F).
2. **Apply directly to your chosen institution** — Prepare your academic transcripts, English test results (IELTS 6.5-7.0), and any prerequisites. Check UTS's application deadlines and submission process.
3. **Receive your Confirmation of Enrolment (CoE) and apply for your Student visa (Subclass 500)** — Once UTS issues your CoE, you can apply for the visa online, pay the application fee, and arrange OSHC.
Sydney is Australia's largest city with a vibrant student community. With over 100,000 international students, the city offers diverse cultural experiences and strong job prospects in finance. However, the cost of living is high. Consider your budget and lifestyle preferences. Sydney's climate is mild year-round, and its public transport system is extensive. For those seeking a more affordable option, other cities like Melbourne or Brisbane may be worth exploring.
Ready to take the next step? Use the CRICOS register to verify this course, then apply directly to UTS.
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Master of Data Science in Quantitative Finance is a CRICOS-registered programme at University of Technology Sydney (UTS). Use this register extract [CRICOS register, Apr 2026] to cross-check codes, duration and indicative fees before you apply.
This page is general information only and not migration advice. Confirm Student visa (Subclass 500) requirements with the Department of Home Affairs.