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M.S. FINANCIAL ENGINEERING

Financial Engineering is a multidisciplinary field involving financial theory, the methods of engineering, the tools of mathematics and the practice of programming. The Financial Engineering Program at Columbia University provides a one-year full-time training in the application of engineering methodologies and quantitative methods to finance. It is designed for students who wish to obtain positions in the securities, banking, and financial management and consulting industries, or as quantitative analysts in corporate treasury and finance departments of general manufacturing and service firms.

The first half of our program is devoted to the tools of the trade and their use in modeling financial markets and instruments. Students take courses in stochastic processes, optimization, numerical techniques, Monte Carlo simulation, and data analysis. They also study portfolio theory, derivatives valuation, and financial risk analysis, making use of the methods they have learned.

The second half of the program gives students the opportunity to take more advanced courses or study specialized topics. We offer a selection of more detailed courses on current subjects of interest, ranging from models of the term structure of interest rates to a study of the implied volatility smile, as well as a course on applications programming for financial engineering. Students can also choose from a variety of courses on particular markets and their models, for example mortgage-backed securities or credit-risk modeling.

In addition to courses within the engineering school, students can also take electives from various schools within the university, such as the Graduate School of Business, the Graduate School of Arts and Sciences, the School of Law, and the School of International and Public Affairs.

Our program also hosts a popular Financial Engineering Practitioners Seminar on Monday nights, at which Wall Street and industry practitioners present seminars on their recent research or particular specialty, and where students can hear firsthand about life in the financial world.

MSFE CURRICULUM 2010-11

For the class of 2010-2011, the MSFE Program requires the completion of 36 points on a full time basis only.  Students start with an 8 week part I summer session (July 6- August 27, 2010), and continues through the 2010-2011 academic year.  Students may complete the program in May 2011, August 2011 or December 2011.  

All courses are for 3 credits, unless stated otherwise.

The curriculum below assumes that the student will complete the degree by May 2010.

Sample curriculum for:

August 2011 completion
December 2011 completion

Summer Part I: Required Core, 9 points

Summer 2010 Schedule

IEOR E4701: Stochastic Models for Financial Engineering
IEOR E4702: Statistical Tools for Financial Engineering
IEOR E4706: Foundations of Financial Engineering
IEOR E4729: Financial Markets, Institutions and Risk

The Department requires that students achieve grades of B- or higher in each of the four fundamental core courses offered in the first summer. Poor performance in these courses is indicative of inadequate preparation and is very likely to lead to serious problems in completing the program. As a result, students failing to meet this criterion will be asked to withdraw from the program.

Fall: Required Core, 15 points

IEOR E4007: Optimization Models and Methods for Financial Engineering
IEOR E4703: Monte Carlo Simulation
IEOR E4707: Financial Engineering: Continuous Time Models
IEOR E4709: Data Analysis for Financial Engineering

One elective (1.5 - 3 points)

IEOR E4403: Advanced Engineering and Corporate Economics (S. Kachani)
IEOR E4720: Topics in Quantitative Finance: Commodity Derivatives (M. Higgins)
IEOR E4274: Topics in Quantitative Finance: Hedge Funds (L. Metzger)
IEOR E4728: Topics in Quantitative Finance: Guide to Financial Industry for Quantitative Professionals (A. Kuznetsov)

Spring, 12 points
Choose four from the courses below, plus one other course in consultation with faculty adviser.

DRAN B8835: Security Pricing Models (C. Moallemi)
IEOR E4500: Applications Programming for Financial Engineering (D. Bienstock)
IEOR E4602: Quantitative Risk Management (M. Haugh)
IEOR E4630: Asset Allocation (G. Iyengar)
IEOR E4710: Term Structure Modeling (M. Haugh)
IEOR E4718: Introduction to the Implied Volatility Smile (E. Derman)
IEOR E4726: Topics in Quantitative Finance: Experimental Finance ( dFlexiblemorgage P Flexible Mortgage Fapturbo Szh 1 Flexible Mortgage Help You Apply - 出国留学文书和咨询n d Flexible Mortgage kFlexiblemorgage P Flexible Mortgage Fapturbo Szh 1 Flexible Mortgage Help You Apply - 出国留学文书和咨询w Flexible Mortgage Flexible Mortgage