Master of TESOL and Applied Linguistics (Extension)
The Master of TESOL and Applied Linguistics (Extension) program at UTS is a prestigious...
Master of Data Science in Quantitative Finance
Sydney
INTAKE: Jul & Feb
Program Overview
The Master of Data Science in Quantitative Finance program at UTS is a shining example of excellence in education and research. It offers a comprehensive and dynamic learning experience, combining theoretical knowledge, practical training, and research initiatives to ensure that students are well-prepared for success in the world of quantitative finance.
Curriculum: The curriculum of this program is meticulously designed to provide students with a deep understanding of data science and its application in quantitative finance. It covers a wide range of subjects, including statistical analysis, financial modeling, risk management, and machine learning. Students have access to cutting-edge data analytics tools and technology, enabling them to gain hands-on experience in solving real-world problems in quantitative finance. The program emphasizes the integration of theoretical knowledge with practical application, ensuring that graduates are well-prepared to tackle complex financial challenges.
Research Focus: The Master of Data Science in Quantitative Finance program at UTS places a strong emphasis on research, encouraging students to engage in advanced research projects. Students often collaborate with distinguished faculty members on research endeavors, contributing to the advancement of data science and quantitative finance as academic disciplines. This research-driven approach enriches students' academic experience and equips them with the skills necessary to innovate and adapt in the evolving world of finance.
Industry Engagement: The program maintains strong connections with the financial industry, ensuring students benefit from real-world insights and experiences. Leading professionals from the finance sector actively contribute to the curriculum, offering guest lectures and participating in industry-focused projects. This industry engagement keeps students updated with the latest industry trends and challenges, while also providing networking opportunities and potential career prospects.
Global Perspective: The Master of Data Science in Quantitative Finance program at UTS is designed to provide a global perspective. The curriculum and research projects frequently address international financial issues and challenges, preparing students for careers that transcend geographical boundaries. UTS fosters a diverse and inclusive learning environment that attracts students from around the world, enhancing the global perspective of the program.
Location
Sydney
Score
IELTS 6.5
Tuition Fee
AUD 45790
Postgraduate Entry Requirements:
Academic Qualifications: International students applying for postgraduate programs at UTS are generally required to hold a bachelor's degree or equivalent with a minimum score of 60% or above. However, specific program requirements may vary.
English Language Proficiency:
- IELTS: Overall score of 6.5 or 7.0, with a minimum score of 6 in each band.
- TOEFL: Overall score of 79, with a minimum score of 21 in listening, reading, writing, and speaking.
- PTE: Overall score of 58, with a minimum score of 50.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
The University of Technology Sydney (UTS) offers a range of scholarships and grants to assist students with the cost of their education. These scholarships are available to both domestic and international students and cover a range of academic fields.
- UTS President's Scholarship: This is a prestigious scholarship that is awarded to high-achieving students. The scholarship covers the full tuition fees for the duration of the recipient's course.
- UTS Global Ambassador Scholarship: This scholarship is available to both undergraduate and postgraduate international students who demonstrate academic excellence and a commitment to promoting UTS overseas. The scholarship covers 50% of the recipient's tuition fees.
- UTS Women in Engineering and IT Scholarship: This scholarship is available to female students who are enrolled in an engineering or IT course at UTS. The scholarship provides financial assistance to cover the recipient's tuition fees and living expenses.
- UTS Indigenous Scholarships: These scholarships are available to Indigenous Australian students who are enrolled in an undergraduate or postgraduate course at UTS. The scholarships provide financial assistance to cover the recipient's tuition fees and living expenses.
- UTS Business School Scholarship: This scholarship is available to both domestic and international students who are enrolled in a business course at UTS. The scholarship provides financial assistance to cover the recipient's tuition fees.
- UTS Graduate School of Health Scholarship: This scholarship is available to both domestic and international students who are enrolled in a health course at UTS. The scholarship provides financial assistance to cover the recipient's tuition fees.
- UTS Faculty of Law Equity Scholarship: This scholarship is available to both domestic and international students who are enrolled in a law course at UTS. The scholarship provides financial assistance to cover the recipient's tuition fees and living expenses.
Graduates of the Master of Data Science in Quantitative Finance program at UTS are well-prepared for a wide range of career options in the field of quantitative finance.
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Quantitative Analyst: Graduates can work as quants, using data science and mathematical models to make financial predictions and decisions.
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Financial Data Analyst: With their expertise in data analysis, graduates can focus on analyzing financial data for investment strategies and risk management.
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Risk Manager: Graduates can specialize in risk management, helping financial institutions identify and mitigate risks in their operations.
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Portfolio Manager: Graduates can manage investment portfolios and make strategic investment decisions.
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Algorithmic Trader: For those interested in trading, graduates can develop and implement algorithmic trading strategies.
