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)

MTH 9814

A Quantitative Introduction to Pricing Financial Instruments

Effective spring 2018 course title changes to:

Financial Markets and Securities

3 credits

MTH 9815

Object Oriented Programming for Financial Applications3 credits

MTH 9821

Numerical Methods for Finance I3 credits

MTH 9831

Probability and Stochastic Processes for Finance I3 credits
Internship Course 1.5 credits 

MTH 9903

Capstone Project and Presentation3 credits

Elective Courses                   (19.5 credits)

Choose courses from the following courses:
Big Data Technologies3 credits
Statistical Natural Language Processing1.5 credits
Advanced Data Analysis1.5 credits

Fundamentals of Trading

1.5 credits

MTH 9841

Statistics for Finance3 credits

MTH 9842

Linear and Quadratic Optimization Techniques1.5 credits 

MTH 9845

Market and Credit Risk Management3 credits

MTH 9848

Elements of Structured Finance3 credits
Numerical Methods for Finance II3 credits
Asset Allocation and Portfolio Management3 credits
Probability and Stochastic Processes for Finance II3 credits
Volatility Filtering and Estimation1.5 credits 
Model Review for Quantitative Models in Finance1.5 credits

MTH 9865

Commodities and Futures Trading1.5 credits  
Modeling and Market Making in Foreign Exchange 1.5 credits 

MTH 9867

Time Series Analysis and Algorithmic Trading 3 credits

MTH 9868

Advanced Risk and Portfolio Management 3 credits

MTH 9871

Advanced Computational Methods in Finance 3 credits

MTH 9873

Interest Rate Models and Interest Rate Derivatives 3 credits

MTH 9875

The Volatility Surface 3 credits
Credit Risk Models3 credits
Interest Rate Models3 credits

MTH 9879

Market Microstructure Models 3 credits

MTH 9881

Current Topics in Mathematical Finance 3 credits

MTH 9882

Fixed Income Risk Management1.5 credits  

MTH 9883

Structured Security Valuation in the Primary Market 

1.5 credits  

Emerging Markets and Inflation Modeling

1.5 credits
Blockchain Technologies in Finance1.5 credits

MTH 9891

Introduction to Applied Financial Econometrics 

1.5 credits

MTH 9893

Time Series Analysis 

1.5 credits  

 

Machine Learning

1.5 credits

MTH 9896

Behavioral Finance 

1.5 credits
Systematic Trading1.5 credits
Data Science in Finance I: Big Data in Finance1.5 credits
Data Science in Finance II: Machine Learning1.5 credits

ECO 82100

(Term I) Econometrics I3 credits

ECO 82100

(Term II) Financial Econometrics3 credits

FIN 9770

Financial Markets and Institutions3 credits

FIN 9782

Futures and Forward Markets3 credits

FIN 9783

Investment Analysis3 credits

FIN 9786

International Financial Markets3 credits

FIN 9790

Seminar in Finance3 credits

FIN 9793

Advanced Investment Analysis3 credits

FIN 9797

Options Markets3 credits

STA 9700

Modern Regression Analysis3 credits

STA 9701

Time Series: Forecasting and Statistical Modeling3 credits