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康奈尔大学金融工程专业介绍
Cornell也是常青藤盟校，地处纽约州的Ithaca市，是金融领域的先驱者之一。Cornell的校园是美国best之一，在这里学习生活是一种享受。Cornell在金融、数学、统计方面非常强。该专业虽然在工程学院下，但依托靠近纽约的地理优势，在Wall Street旁边建了一个校区，专门供学生学习、参加实习和找工作培训、面试用的（地点和CMU的纽约校区在一栋楼里面）。所以在这个专业学习很可能要经常去纽约。这个专业现在越办越好，大有后来居上的感觉。
项目详解
MEng, Financial Engineering concentration
课程设置：
1. 设在工学院的ORIE系下，是工程硕士的一个方向。
2. 1.5年，3学期：Fall & Spring在Ithaca+暑期实习+Fall在曼哈顿
3. 60名左右，有奖学金机会，课程有工科味道（计算机，工程类数学等），选课灵活，教学新颖
4. 暑期实习，100%的学生参与实习
申请要点：
1. 要求申请人具有一定数学能力和编成能力，部分人会有面试。
2. TOEFL100+， IELTS7.0+，GRE成绩，不接收GMAT
3. 从12月开始发录取，直到4月份，中国大陆近3年，每年都有超过25位学员收获录取。
4. 先修课要求：
In order to confirm that an applicant has fulfilled the necessary prerequisites for the program, as listed below, specific information is requested within the application.
M.Eng. Program Prerequisites (must be satisfied prior to matriculation):
Ø A standard engineering calculus sequence, including linear algebra (with eigenvalues and eigenvectors), and vector calculus, similar in content and rigor to Cornell courses MATH 1910, MATH 1920, and MATH 2940.
Ø An introductory engineering probability and statistics course similar in content and rigor to Cornell course ENGRD 2700.
Ø An intermediate-level computer programming course in a general programming language such as C, C++, Java, or Python, similar in content and rigor to Cornell course ENGRD 2110. Courses that entail programming applications, but where programming is not the primary focus are not acceptable substitutes. Courses in statistical modeling languages, such as R and SAS, are not acceptable substitutes.
Additional prerequisites for the Financial Engineering concentration (must be satisfied prior to matriculation):
Ø Two semesters of calculus-based probability, statistics, and/or stochastic processes, similar in content and rigor to Cornell courses ENGRD 2700, ORIE 3500 and/or ORIE 3510. Courses in which probability and statistical methods are used, but where theory is not the primary focus are not acceptable substitutes, nor are professional exam credentials (e.g., CFA, FRM).
Ø An introductory finance course. Courses in economics and accounting are not acceptable substitutes.
Ø Strongly recommended: A course in differential equations, similar in content and rigor to Cornell course MATH 2930.
Ø Strongly recommended: Proficiency with R and/or Python.
Note: Courses completed to satisfy the prerequisites for the Financial Engineering concentration (at Cornell or elsewhere) do not count towards fulfilling any of the general requirements for the MEng degree.
Additional prerequisites for the Data Analytics concentration (must be satisfied prior to matriculation):
Ø A two-semester sequence of calculus-based probability and statistics theory, similar in content and rigor to Cornell courses ENGRD 2700 and ORIE 3500. Courses in which probability and statistical methods are used, but where theory is not the primary focus are not acceptable substitutes, nor are professional exam credentials (e.g., CFA, FRM).
就业分析：
康奈尔地处偏辟的乡间，与纽约市有4小时车程。但因为ORIE系在曼哈顿有一个OR办公室，会在项目中间给学生寻找纽约的实习机会，所以很不错。实习率常年100%，并且主要在美国，50%左右的学生在纽约找到面试。另外它跟普林斯顿和哥伦比亚同样是Ivy，而且离纽约市也不太远，又有summer intern，所以毕业生就业很不错 。毕业3个月后就业率95%，平均起薪$90,000。
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