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哥倫比亞大學的金融工程和金融經濟哪個好培訓啦在線根據多年教育經驗告訴你哥倫比亞大學的金融工程和金融經濟哪個好,希望能幫助到您。項目一:MS in Financial Engineering
哥倫比亞大學的金融工程碩士項目開設于Department of Industrial Engineering
and Operations Research。分5個方向:計算與編程、金融與經濟、金融衍生物、資產管理、計算金融與交易系統(tǒng)。秋季學期開學,需修滿36個學分。
申請要點
◇ 不接受GMAT,接受GRE
◇ TOEFL 99分以下 和IELTS 6.5分以下會被要求進行語言課程的學習
◇ 最好有相關全職工作經驗或者實習經驗,但非必須
◇ 申請截止日期: 每年1月6日
◇ 學費: 17-18學年度,$69,732($1937/學分,共36學分)
課程設置
核心課程:
Mathematics of Financial Engineering Primer
Optimization Models and Methods
Stochastic Models
Foundations of Financial Engineering
Professional Development
Monte Carlo Simulation
Financial Engineering: Continuous Time Models
Statistical Analysis and Time Series
選修課:
Quantitative CorporateFinance
Applications Programming for FinancialEngineers
The Contemporary Financial Systems: Introductions forFinancial Engineers
Risk Management and The FinancialSystem
Programming for FinancialEngineering
Computational Methods in Derivatives Pricing
Algorithmic Trading
Event Driven Finance
Risk Management
Machine Learning for OR & FE
Quantitative Risk Management
Asset Allocation
Beyond Black-Scholes: The Implied VolatilitySmile
Big Data in Finance
Foreign Exchange & Related Derivatives
Programming for FE 2: Implementing High PerformanceFinancial Systems
Advanced Corporate Finance
Quantitative Finance: Models and Computation
項目二:Master of Science in Financial Economics(MSFE)
哥倫比亞大學的金融經濟學碩士(MSFE)開設于哥倫比亞大學商學院下(Columbia Business School),學制2年(4學期)全日制碩士項目,每年秋季學期入學。該項目中有很多PhD和MBA課程,但相比PhD項目,MSFE時間更短,更偏向實踐與就業(yè)。學生至少要學16門課程,完成一次行業(yè)研究課題,并且完成一次至少6周的暑期實習,實習要與學生的研究課題緊密相連。該項目屬于STEM專業(yè)。
申請要點
◇ 接受托福和雅思,無專業(yè)背景要求,不要求面試,不要求工作經驗。
◇往屆錄取情況(2017年):申請人數: 576人錄取人數: 32人錄取率: 5%
班級規(guī)模: 25人班級平均年齡: 24
男女比例: 16:8
GRE Quantitative
平均得分率: 93%
GRE Verbal
平均得分率: 77%
TOEFL
平均分: 110
◇ 申請截止日期:2018秋季學期:2017年8月1日開始接受申請,結束時間未定(預測為2018年1月初截止)
◇學費:每學年55,728美元(2017-2018年數據)
課程設置
前置本科課程的要求:
Probability
Statistics
Microeconomics
Two semester of Calculus
Linear Algebra and Matrix Theory
Computer programming
必修PHD課程:
Microeconomic Analysis I
Microeconomic Analysis II
Finance Theory I
Introduction to Econometrics andStatistical Inference
Financial Econometrics- TimeSeries
Financial Econometrics- Panel Data
Asset Pricing Theory
Empirical Asset Pricing
Corporate Finance Theory
Thesis Seminar and MSThesis
Computing for Business Research
選修PHD課程
Microstructure theory
Empirical Asset Pricing II
Computational Methods forBayesian inference
Computational Finance
Empirical Methods in CorporateFinance
Behavioral Finance
Models and Methods of ContinuousTime Finance
必修MBA課程
Capital Markets
Debt markets
Asset Management
選修MBA課程
Quantitative Finance: Models andComputation
Derivatives
Advanced Derivatives
Fixed Income Derivatives
International FinancialManagement
Risk Management
Advanced corporate finance
Corporate finance
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