

Master of Data Science in Quantitative Finance
- Public University
Faculty of Science
Master of Data Science in Quantitative Finance at UTS Sydney Overview
Duration | 18 months |
Tuition & Fees | ₹32.63 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master of Data Science in Quantitative Finance at UTS Sydney Fees
The fee structure for the Master of Data Science in Quantitative Finance at the University of Technology, Sydney covers the first-year tuition fees along with other additional charges, including the Books and supplies charges; facilities cost and many more offered by the University of Technology, Sydney. Other than tuition costs, students need to pay living expenses that cover various factors like rent, food, transportation, utility, and other personal expenses. The average cost of living is AUD 10,088. The total tuition fees for the first year of Master of Data Science in Quantitative Finance is AUD 57,024.
Find more details about University of Technology, Sydney Master of Data Science in Quantitative Finance on the fee breakup, from the table mentioned below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 32,62,913 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 5,77,235 |
| Insurance | INR 36,049 |
Download exam sample paper
Master of Data Science in Quantitative Finance at UTS Sydney Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.

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Out of 10
- No specific cutoff mentioned
- 79-93 overall with a writing score of 21Register for TOEFL iBT® Test Today and get Rs 500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL

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Out of 10
- Marks - 58/90
- NA
- No specific cutoff mentioned
- Read less
- 6.5 overall with a writing score of 6.0
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Master of Data Science in Quantitative Finance at UTS Sydney Application Process
- Certified copies of academic transcripts and statement of completion (if applicable)
- Certified copy of proof of English language proficiency
- Application form for credit recognition and official subject descriptions (if applicable)
- Medical statement from a registered doctor (only for differently abled applicants)
- Copies of letter of guarantee documents from sponsor (Sponsored applicants only)
- Certified copy of passport
- A current statement of service or employment letter [Optional for Master of Management (Extension) and Master of Strategic Supply Chain Management (Extension)]
- Certified copies of references from applicants employer on company letterhead (if applicable)
- Aa personal statement (max. 300 words) explaining the reasons for wanting to study project management and demonstrating an understanding of basic project management concepts gained from work experience and knowledge of course expectations for Master of Project Management
Master of Data Science in Quantitative Finance at UTS Sydney Rankings
| Rank | Rank Publisher |
|---|---|
| #83 | |
| #101 | |
| #301 |
Master of Data Science in Quantitative Finance at UTS Sydney Placements
| Particulars | Statistics (2021) |
|---|---|
| Internship Available | Yes |
University of Technology, SydneyStudents Ratings & Reviews
- 50% students never faced discrimination in this university
Master of Data Science in Quantitative Finance at UTS Sydney Highlights
- The Master of Data Science in Quantitative Finance provides students with cutting-edge skills, knowledge and tools allowing them to tackle data problems on a new scale and complexity for tasks in portfolio optimisation, market modelling and credit risk.
- Data science techniques including machine learning have already transformed the world of asset management, changing how sophisticated investors approach portfolio construction and risk management.
Master of Data Science in Quantitative Finance at UTS Sydney Scholarships
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