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Master

Financial Economics, MS

University Overview

Columbia University

  • Country United States of America
  • Institution TypePrivate
  • LocationNew York City, New York
  • Tuition$56,584 ~ $122,250

Program Introduction

The Master of Science in Financial Engineering (MSFE) program at Columbia Business School integrates financial theory, engineering, mathematics, statistics, and computer science to produce highly skilled professionals capable of addressing the complex challenges of modern financial markets. The program leverages Columbia University's strategic location in the heart of Wall Street to provide students with cutting-edge financial knowledge and practical experience. Students develop deep expertise in areas such as derivative pricing, risk management, quantitative trading strategies, and financial technology. This program is designated as a STEM (Science, Technology, Engineering, and Mathematics) field, allowing international students to benefit from up to 36 months of Optional Practical Training (OPT) after graduation. The Financial Engineering Master's program is typically offered as a 12-month full-time course, providing opportunities to learn from world-renowned faculty and industry experts. The program emphasizes a balance between rigorous academic foundations and practical applications, with students learning to apply theory to real situations through projects using actual financial data and cases. Additionally, the program offers networking opportunities, industry events, and job connections through strong ties with New York's financial industry. This comprehensive education prepares graduates to perform roles such as quantitative analysts, risk managers, trading strategists, and financial modelers at investment banks, hedge funds, asset management companies, and financial technology firms.

Degrees OfferedMaster of Science
  • Language of InstructionEnglish
  • Program Length24 months
  • Teaching MethodsOffline
Programme Structure

- Core Required Courses: Mathematical finance, derivatives pricing, stochastic modeling, statistical methodologies, financial time series analysis - Programming and Computational Skills: Financial data science, algorithmic trading, financial software development, Python/R/C++ programming - Financial Risk Management: Market risk, credit risk, liquidity risk, operational risk, risk modeling and measurement - Asset Management and Portfolio Theory: Portfolio optimization, asset allocation, investment strategies, performance evaluation - Fixed Income and Equity Analysis: Bond markets, interest rate models, structured products, equity volatility, correlation trading - Algorithmic and High-Frequency Trading: Market microstructure, execution strategies, electronic trading systems, signal processing - Financial Technology and Innovation: Blockchain, cryptocurrencies, robo-advisors, alternative data, artificial intelligence applications - Market Liquidity and Regulation: Financial market regulations, trading cost analysis, liquidity measurement, regulatory compliance - Capstone Projects: Industry-sponsored projects, financial modeling competitions, real financial problem solving - Field Experiences and Seminars: Financial institution visits, industry expert seminars, case study workshops

Post-Graduation Prospects
Post-Graduation Salary
$0 - 0
Intake & Application Deadlines
IntakesApplication Deadlines
2025 Fall
2025-01-16

Admission Requirement

Academic
  • GPANo Min Score
  • GRENo Min Score
English Proficiency
  • TOEFL-logo80
  • IELTS-logo6.5
Documents
  • Online ApplicationRequired

  • Official TranscriptRequired

  • 3 Letters of Recommendations Required

  • Statement of PurposeRequired

  • Resume/CVRequired

  • Interview Optional

    if requested

  • GRERequired

  • Certified English Test Score ReportRequired

Fees and Funding

Tuition

$56,584/Year

Housing Cost

$27,396/Year

Application Fee

$85

Visit the official program website for details.

Tuition

$56,584/Year