Fall 2016 - (See below for changes to the Program that will take place in spring 2017 .)
The Baruch College Financial Engineering MS Program is a professional Masters Program which graduates competitive, high-quality individuals who successfully pursue careers in quantitative finance.
The Master of Science in Financial Engineering (MFE) requires the completion of 36 credits, including five 3-credit required courses. The remaining 21 credits are to be completed from elective courses. Students entering the program with exceptional mathematical or financial skills may be permitted to replace one or more of the required courses with additional electives.
The curriculum of the MFE Program is designed to provide students with the background required for modeling and solving problems that arise in the financial services industry across various markets and asset classes. All courses are offered in the evening to accommodate students with work commitments.
| Courses in Specialization (36 credits) Required Courses (15 credits) | ||
| A Quantitative Introduction to Pricing Financial Instruments | 3 credits | |
| Object Oriented Programming for Financial Applications | 3 credits | |
| Numerical Methods for Finance I | 3 credits | |
| Probability and Stochastic Processes for Finance I | 3 credits | |
| Capstone Project and Presentation | 3 credits | |
Elective Courses (21 credits) Choose courses from the following courses: | ||
Fundamentals of Trading | 1.5 credits | |
| Statistics for Finance | 3 credits | |
| Linear and Quadratic Optimization Techniques | 1.5 credits | |
| Market and Credit Risk Management | 3 credits | |
| Elements of Structured Finance | 3 credits | |
| Numerical Methods for Finance II | 3 credits | |
| Asset Allocation and Portfolio Management | 3 credits | |
| Probability and Stochastic Processes for Finance II | 3 credits | |
| Volatility Filtering and Estimation | 1.5 credits | |
| Model Review for Quantitative Models in Finance | 1.5 credits | |
| Commodities and Futures Trading | 1.5 credits | |
| Time Series Analysis and Algorithmic Trading | 3 credits | |
| Advanced Risk and Portfolio Management | 3 credits | |
| Advanced Computational Methods in Finance | 3 credits | |
| Interest Rate Models and Interest Rate Derivatives | 3 credits | |
| The Volatility Surface | 3 credits | |
| Credit Risk Models | 3 credits | |
| Interest Rate Models | 3 credits | |
| Market Microstructure Models | 3 credits | |
| Current Topics in Mathematical Finance | 3 credits | |
| Fixed Income Risk Management | 1.5 credits | |
Structured Security Valuation in the Primary Market | 1.5 credits | |
Emerging Markets and Inflation Modeling | 1.5 credits | |
Introduction to Applied Financial Econometrics | 1.5 credits | |
Time Series Analysis | 1.5 credits | |
Machine Learning | 1.5 credits | |
Behavioral Finance | 1.5 credits | |
| Data Science in Finance I: Big Data in Finance | 1.5 credits | |
| Data Science in Finance II: Machine Learning | 1.5 credits | |
| (Term I) Econometrics I | 3 credits | |
| (Term II) Financial Econometrics | 3 credits | |
| Financial Markets and Institutions | 3 credits | |
| Futures and Forward Markets | 3 credits | |
| Investment Analysis | 3 credits | |
| International Financial Markets | 3 credits | |
| Seminar in Finance | 3 credits | |
| Advanced Investment Analysis | 3 credits | |
| Options Markets | 3 credits | |
| Modern Regression Analysis | 3 credits | |
| Time Series: Forecasting and Statistical Modeling | 3 credits | |
Effective Spring 2017
The Baruch College Financial Engineering MS Program is a professional Masters Program which graduates competitive, high-quality individuals who successfully pursue careers in quantitative finance.
The Master of Science in Financial Engineering (MFE) requires the completion of 36 credits, including five 3-credit required courses, and a 1.5 credit internship course. The remaining 19.5 credits are to be completed from elective courses. Students entering the program with exceptional mathematical or financial skills may be permitted to replace one or more of the required courses with additional electives.
The curriculum of the MFE Program is designed to provide students with the background required for modeling and solving problems that arise in the financial services industry across various markets and asset classes. All courses are offered in the evening to accommodate students with work commitments.
| Courses in Specialization (36 credits) Required Courses (16.5 credits) | ||
| A Quantitative Introduction to Pricing Financial Instruments | 3 credits | |
| Object Oriented Programming for Financial Applications | 3 credits | |
| Numerical Methods for Finance I | 3 credits | |
| Probability and Stochastic Processes for Finance I | 3 credits | |
| Internship Course | 1.5 credits | |
| Capstone Project and Presentation | 3 credits | |
Elective Courses (19.5 credits) Choose courses from the following courses: | ||
Fundamentals of Trading | 1.5 credits | |
| Statistics for Finance | 3 credits | |
| Linear and Quadratic Optimization Techniques | 1.5 credits | |
| Market and Credit Risk Management | 3 credits | |
| Elements of Structured Finance | 3 credits | |
| Numerical Methods for Finance II | 3 credits | |
| Asset Allocation and Portfolio Management | 3 credits | |
| Probability and Stochastic Processes for Finance II | 3 credits | |
| Volatility Filtering and Estimation | 1.5 credits | |
| Model Review for Quantitative Models in Finance | 1.5 credits | |
| Commodities and Futures Trading | 1.5 credits | |
| Modeling and Market Making in Foreign Exchange | 1.5 credits | |
| Time Series Analysis and Algorithmic Trading | 3 credits | |
| Advanced Risk and Portfolio Management | 3 credits | |
| Advanced Computational Methods in Finance | 3 credits | |
| Interest Rate Models and Interest Rate Derivatives | 3 credits | |
| The Volatility Surface | 3 credits | |
| Credit Risk Models | 3 credits | |
| Interest Rate Models | 3 credits | |
| Market Microstructure Models | 3 credits | |
| Current Topics in Mathematical Finance | 3 credits | |
| Fixed Income Risk Management | 1.5 credits | |
Structured Security Valuation in the Primary Market | 1.5 credits | |
Emerging Markets and Inflation Modeling | 1.5 credits | |
Introduction to Applied Financial Econometrics | 1.5 credits | |
Time Series Analysis | 1.5 credits | |
Machine Learning | 1.5 credits | |
Behavioral Finance | 1.5 credits | |
| Data Science in Finance I: Big Data in Finance | 1.5 credits | |
| Data Science in Finance II: Machine Learning | 1.5 credits | |
| (Term I) Econometrics I | 3 credits | |
| (Term II) Financial Econometrics | 3 credits | |
| Financial Markets and Institutions | 3 credits | |
| Futures and Forward Markets | 3 credits | |
| Investment Analysis | 3 credits | |
| International Financial Markets | 3 credits | |
| Seminar in Finance | 3 credits | |
| Advanced Investment Analysis | 3 credits | |
| Options Markets | 3 credits | |
| Modern Regression Analysis | 3 credits | |
| Time Series: Forecasting and Statistical Modeling | 3 credits | |