国际学生入学条件
An overall 80% average from a Canadian University (or its equivalent).
A four-year honour's Bachelor's degree (or equivalent) with a strong background in quantitative methods. Such a background may be in mathematics, statistics, actuarial science, computer science, economics, engineering, physics, provided there is a strong component of high level mathematics in the program. Strong communication skills are also highly desirable.
An interview and diagnostic test may be required.
Supervisors
Review the finding a supervisor resources
Resume
Supplementary information form (SIF)
The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review the application documents web page for more information about this requirement
If a statement or letter is required by your program, review the writing your personal statement resources for helpful tips and tricks on completion
Transcript(s)
References
Three references are required, at least two academic
Proof of English language proficiency, if applicable
TOEFL 100 (writing 26, speaking 26), IELTS 7.5 (writing 7.0, speaking 7.0)
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雅思考试总分
7.5
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雅思考试指南
- 雅思总分:7.5
- 托福网考总分:100
- 托福笔试总分:160
- 其他语言考试:PTE (Academic) - 68 (writing 65, speaking 65)
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
定量金融硕士(MQF)计划侧重于数学的基础学科
The Master of Quantitative Finance (MQF) program focuses on the fundamental disciplines of mathematics, statistics, econometrics, computer science, and finance. It provides the analytical tools to solve practical problems in the complex and rapidly evolving world of today's financial industry. Graduates from the Master of Quantitative Finance are equipped for positions with financial institutions, corporations, and government regulatory organizations. The Department of Statistics and Actuarial Science is among the top academic units for statistical and actuarial science in the world and is home to more than 50 research active full-time faculty working in diverse and exciting areas. We offer bachelor's, master's and doctoral programs in Statistics and Actuarial Science and numerous joint programs with other Departments. The Department offers a vibrant research environment for a wide range of areas including foundations of statistics, analysis of longitudinal and life history data, computational inference, finance, risk management, ruin theory, survey methods, industrial statistics, interdisciplinary collaborative work.
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