Master of Science in Financial Engineering - Risk Finance
  • 学历文凭

    Masters Degree

  • 专业院系

    会计和金融

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

To be considered for admission into the MS in Financial Engineering program, students must have a Bachelor's Degree from an accredited institution and proven proficiency in:

Linear Algebra
Probability Theory
Multivariable Calculus (Advanced)
Applied Statistics
Computer Programming
Applicants must submit official transcripts from each institution attended as well as GRE test scores.
Official Transcripts
Resume
Statement of Purpose
1-minute video
2 Letters Of Recommendation
GRE is only required for students who have studied for fewer than 4 years as undergraduates in the US.
The minimum GPA requirement is a 3.0 out of a 4.0 scale.
IELTS (Academic) - An overall band of 7.0
TOEFL (Internet-based test) - Minimum score of 90
Duolingo English Test - 125
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雅思考试总分

7.0

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  • 雅思总分:7
  • 托福网考总分:90
  • 托福笔试总分:160
  • 其他语言考试:Pearson PTE Academics - 65
CRICOS代码:
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课程简介

Risk presents a comprehensive approach to managing risk in the context of globalized markets, financial compliance, multi-dimensional regulatory environments and industry convergence across the financial spectrum. This specialization will prepare you for a challenging career in risk finance, insurance, credit risk and derivatives or financial risk management. Challenges faced by practitioners of risk include: Managing financial, extreme and cyber risks in an era of uncertainty and global markets in turmoil and out of equilibrium. Developing financial products that are robust and anti-fragile to value risks and allow the safe transfer and the securitization of risks to better access financial liquidity and financial risk exchanges. Both, optional financial products such as credit derivatives and financial insurance products are introduced, priced and managed to prevent financial losses and to hedge trading bets. Corporate Finance Risk Management, embedded in financial risk management of banks and other industrial and financial institutions. Financial regulation to better comprehend the complexity and complying to multiple regulation agencies as well as global regulation currently at the forefront of financial authorities. Financial Analytics to better measure risks, price and manage trading risks in an environment where stealth trading, high frequency trading, uncertainty and multi-agents finance prevail. In such an environment a greater appreciation of out-of-equilibrium (incomplete) finance, statistical tools, big-data finance and financial technology to track, assess and control become essential tools to engineer financial risk management.
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