Master of Science in Financial Engineering

学历文凭
Masters Degree

专业院系
会计和金融

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国际学生入学条件
The Department receives a large number of applications every year. 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
Official Transcripts
Resume
Statement of Purpose
1-minute video
2 Letters Of Recommendation
English Language Proficiency Testing, where applicable
Official Transcripts and Degree Conferral (Proof of Degree)
To be eligible for consideration to any graduate program at NYU Tandon, you must hold a four-year U.S. Bachelor's degree from a regionally accredited U.S. institution, or its international equivalent.
The minimum GPA requirement is a 3.0 out of a 4.0 scale.
IELTS Academic - overall band of 7.0
TOEFL iBT - 90
Duolingo English Test - 125
IDP—雅思考试联合主办方

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:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
Sophisticated modeling and information technology now dominate the financial world. The theories and the practice of Finance are challenged today by complex financial and global systems and by dynamically changing regulatory environments and politics. A global world in transition creates both opportunities and challenges for financial engineers to adapt theoretical and financial constructs into profitable and innovative opportunities by creating innovative, custom-designed instruments in the marketplace.<br><br>At the NYU School of Engineering, we train our students to do exactly that: to engineer the future of finance and transform financial theory into practice. The MS in Financial Engineering program furnishes students with foundational knowledge in financial concepts. This knowledge then becomes a springboard to specialized fields where students can apply concepts to everything from derivatives risk finance to financial IT and algorithmic trading on Big Data.
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