康奈尔大学的金融类专业不是强项，强项是工程类。康奈尔大学（Cornell University）坐落于美国纽约州伊萨卡，是由企业家埃兹拉·康奈尔和学者安德鲁·怀特两人携手合作创办的一所独具特色的私立研究型大学，另有两所分校位于纽约市和卡塔尔教育城，是著名的常春藤盟校成员。学校成立于1865年（获得州长签署的特许状），康奈尔大学有七个本科生学院和七个研究生学院。根据《普林斯顿评论》，康奈尔大学与斯坦福大学、麻省理工学院、芝加哥大学、俄勒冈州立大学、加州理工学院、加州大学洛杉矶分校、加州大学伯克利分校一同被誉为美国工程科技界的学术领袖。

Master of Engineering-OperationsResearch and Information Engineering

康奈尔大学的工程学院设有运筹与信息工程专业，其中一个方向为数据分析（Data Analytics），Ithaca主校区和Cornell Tech科技园校区都有招生。每年秋季入学，学制一年，需要修30学分，本专业下设七个方向。需要申请者本科修读过微积分、概率与统计，掌握C、C++或Java相关技术。

◇ 接受GRE，不接受GMAT

◇ TOEFL最低100，单项最低分数：写作20，听力15，阅读20，口语22；IELTS最低7.0

◇ 无需工作经验

◇ 截止日期：

Ithaca校区：12月1日

Cornell Tech校区：12月5日，1月18日， 4月15日◇ 学费：$52,612

核心课程：从以下三个模块的课程列表中修满12学分以上

Optimization Modeling Courses:

Revenue Optimization and Marketplace Design

Nonlinear Optimization

Discrete Models

Intro to Game Theory

Spreadsheet-Based Modeling and Data Analysis

Inventory Management

Optimization I

Optimization II

Topics in Linear Optimization

Optimization Modeling in Finance

Stochastic Modeling Courses:

Revenue Optimization and Marketplace Design

Intro to Financial Engineering

OR Tools for Financial Engineering

Inventory Management

Service System Modeling and Design

Prob and Stat II

Simulation Modeling and Analysis

Monte Carlo Simulation

Monte Carlo Methods in FE

Stochastic Processes

Intro to Engineering Stochastic Processes II

Financial Engineering with Stochastic Calculus I

Financial Engineering with Stochastic Calculus II

Credit Risk: Modeling, Valuation, and Mgmt

Quantitative Methods of Financial Risk Mgmt

Data Science and Statistical Modeling Courses:

OR Tools for Financial Engineering

Statistical Data Mining I

Learning with Big Messy Data

Information Theory, Probabilistic Modeling, & DeepLearning with Scientific& Financial Applications

Applied Time Series Analysis

Statistics for Financial Engineering

Machine Learning for Intelligent Systems

Machine Learning for Data Science

Linear Models with Matrices

Theory of Statistics

Data Mining and Machine Learning

Bayesian Data Analysis: Principles and Practice

Data Analytics

方向选修课程：从Data Science and Statistical Modeling列表中选修两门课从以下Data Analytics领域选修课中选修一门课程：

Algorithms for Markets

Introduction to Database Systems

Computational Techniques for Analyzing Clinical Data

Data Driven Analytics

Revenue Management

Web Scraping & Data Mining for Hospitality Dec Making

Real Estate Statistical Modeling

Visual Data Analytics for the Web

Marketing Research

Data-driven Marketing

Strategy and Tactics of Pricing

Spreadsheet-Based Modeling and Data Analysis

Python Programming and its Applications in Statistics

Applied Design

Multivariate Analysis

Categorical Data

Nonparametric Inference and Sequential Analysis

Databases and Statistical Computing

Big Data Management and Analysis

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