康奈尔大学金融工程专业怎么样

master of engineering-operationsresearch and **rmation 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j**a相关技术。申请要点◇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
课程设置核心课程：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
d**crete models
intro to game theory
spreadsheet-based modeling and data analys**
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 analys**
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 r**k:modeling,valuation,and mgmt
quantitative methods of financial r**k mgmt
data science and stat**tical modeling courses:
or tools for financial engineering
stat**tical data mining i
learning with big messy data
**rmation theory,probabil**tic modeling,&deeplearning with scientific&financial applications
applied time series analys**
stat**tics for financial engineering
machine learning for intelligent systems
machine learning for data science
linear models with matrices
theory of stat**tics
data mining and machine learning
bayesian data analys**:principles and practice
data analytics
方向选修课程：从data science and stat**tical 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 stat**tical modeling
v**ual data analytics for the web
marketing research
data-driven marketing
strategy and tactics of pricing
spreadsheet-based modeling and data analys**
python programming and its applications in stat**tics
applied design
multivariate analys**
categorical data
nonparametric inference and sequential analys**
databases and stat**tical computing
big data management and analys**
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