Operations Research - Methods in Finance Master's Degree

Methods in Finance

Online Program Overview

Degree Level
Master's Degree
Total Credits
Fully Online
Contact Us
Minimum GPA
Qualifying Exam
GRE Required

Methods in Finance is a multidisciplinary field integrating financial theory with economics, methods of engineering, tools of mathematics, and practices of programming. It is designed to provide training in the application of engineering methodologies and quantitative methods to finance. Students studying this field are prepared to enter careers in securities, banking, financial management, consulting industries, quantitative roles in corporate treasury, and finance departments of general manufacturing and service firms.

"I have taken 2 computer science courses. It was well worth the effort. The courses were challenging and very interesting; definitely worth the money. Now, I am studying for the GRE so I can get accepted as a Columbia student."
Charles Frank, Charles Frank And Assoc., Inc.

Admissions Requirements

Degree required for admission: A bachelor's degree in Mathematics, Engineering, Computer Science, Economics with minor in Mathematics, Statistics, Physics, or another technical discipline from an accredited academic institution is required for admission. Applicants should have a strong undergraduate record to be competitive for admission. 

GPA required: Minimum of 3.0

GRE requirements: General test required. (*GMAT exams are not accepted as a substitute for the GRE) 

Other application requirements: Three recommendation letters, transcripts, resume, and a personal-professional statement are required. TOEFL test scores are required of all students who received their bachelor's degree in a country where English is not the official and spoken language. All application requirements in the Graduate Application must be completed as specified in the application. For answers to your most common admissions questions, please review our FAQ page here.

Students entering the Methods in Finance program should have an appropriate mathematical background in probability, calculus and linear algebra. Those students who have this background should be able to do most of the questions found through this link (Prerequisite Questions). It may be necessary for some people to first review some of their undergraduate material. This is particularly true of prospective students who have been working in industry and are not applying directly from an undergraduate program.

Students that do not have a sufficient mathematical background should take the appropriate mathematics courses before starting the Methods in Finance program.

Preparatory courses offered regularly by CVN are

  • SIEO W4150: Introduction to Probability and Statistics
  • APMA E3101: Linear Algebra


Students must complete all core courses (described below) and selected electives (described below) for a total of 30 graduate points of academic work via CVN with a GPA of 2.5 or better. All degree requirements must be completed within 5 years of the first course credited toward the degree. This includes courses taken in the non-degree program.


Course List

Core Courses (18 credits):

Sequence 1 (Must be completed first)

  • IEOR E4007: Optimization Models and Methods (FE) or IEOR E4004: Optimization Models and Methods*
  • IEOR E4106: Stochastic Models or IEOR E4701: Stochastic Models (FE)*

The Department requires grades of B- or higher in the Sequence 1 courses before continuing with the program. 

Sequence 2

  • IEOR E4003: Corporate Finance for Engineers or IEOR E4403: Quantitative Corporate Finance
  • IEOR E4404: Simulation or IEOR E4703: Monte Carlo Simulation*
  • IEOR E4706: Foundations of Financial Engineering (formerly known as Financial Engineering I)
  • IEOR E4707: Financial Engineering: Continuous-Time Asset Pricing (formerly known as Financial Engineering II)

* Course focuses on applications to the financial services industry. Only one course, not both, can be applied to the program.

Elective Courses (12 credits):

Students must choose 4 elective courses from those listed below.

  • IEOR E4307: Statistics and Data Analysis
  • IEOR E4407: Game Theory Models of Operation
  • IEOR E4601: Dynamic Pricing and Revenue Management
  • IEOR E4620: Pricing Models for Financial Engineering
  • IEOR E4602: Quantitative Risk Management
  • IEOR E4630: Asset Allocation
  • IEOR E4709: Statistical Analysis and Time Series
  • IEOR E4710: Fixed Income and Term Structure Modeling
  • IEOR E4718: Beyond Black-Scholes: The Implied Volatility Smile
  • IEOR E4731: Credit Risk Modeling and Derivatives
  • CSOR W4231: Analysis of Algorithms, I
  • DRAN B8835: Security Pricing Models
  • APMA E4200: Partial Differential Equations

Tuition & Fees

2017 - 2018 Tuition & Fees

Please note that all tuition and fees are in U.S. dollars and are estimated. Tuition and most fees are prescribed by statute, and are subject to change at the discretion of the Trustees.

CVN Credit Tuition: $1,936 per point (Credit Hour)
CVN Fee: $395 non-refundable fee per course
Transcript Fee: $105 non-refundable one-time fee

CVN Audit Tuition: $834 per point (Credit Hour)
Graduate Admission Application Fee: $150 non-refundable one-time fee
CVN Fee: $395 non-refundable fee per course

Certification Program Application Fee: $150 non-refundable one-time fee

Late Registration Fee: $100 non-refundable fee

CVN Withdrawal Fee: $75, plus prorated tuition and all non-refundable fees

For example: A three credit course would be $5,808 + transcript fee $105 (one-time) + CVN fee $395 = $6,308


Payment should be mailed to:

Columbia Video Network
540 S.W. MUDD Building, MC4719
500 West 120th Street
New York, NY 10027

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