Baruch MFE Curriculum

After an extensive review which included feedback from industry practitioners, alumni, and faculty, the Baruch MFE Curriculum was reshaped to best fit the current financial employment environment.

The new Baruch MFE Curriculum is cutting edge (sixteen new courses taught by top practitioners introduced since Fall 2010), flexible (fewer required credits and newly introduced half-semester courses), and streamlined (a core set of redesigned courses).


Flexible Curriculum

The number of required credits was reduced from 21 to 15, and the number of elective credits increased from 15 to 21.


Cutting Edge Curriculum

Sixteen new elective courses introduced since 2010:

Fall 2015:

MTH 9855 Asset Allocation and Portfolio Management

Spring 2015:

MTH 9878 Interest Rate Models

MTH 9898 Data Science I: Big Data in Finance

MTH 9899 Data Science II: Machine Learning

Fall 2014:

MTH 9876 Credit Risk Models

Spring 2013:

MTH 9863 Volatility Filtering and Estimation

Winter 2012:

MTH 9891 Introduction to Financial Econometrics

Fall 2012:

MTH 9883 Structured Security Valuation in the Primary Market

MTH 9896 Behavioral Finance

Spring 2011:

MTH 9879 Market Microstructure Models

MTH 9893 Time Series Analysis

MTH 9894 Algorithmic Trading

Summer 2011:

MTH 9868 Advanced Risk and Portfolio Management

Fall 2011:

MTH 9882 Fixed Income Risk Management

Fall 2010:

MTH 9865 Commodities and Futures Trading

MTH 9875 The Volatility Surface


Degree Requirements

To complete the degree, students must complete 36 credits: 15 credits by taking required courses and 21 credits by taking elective courses.

Required Courses

Credits Semester
MTH 9814 A Quantitative Introduction to Pricing Financial Instruments 3 Fall
MTH 9815 Software Engineering for Finance 3 Fall
MTH 9852 Numerical Methods for Finance II 3 Spring
MTH 9862 Probability and Stochastic Processes for Finance II 3 Spring
MTH 9903 Capstone Project and Presentation 3 Fall or Spring

Elective Courses

Students take elective courses in the mathematics department or in the Zicklin School of Business.

Mathematics Department Elective Courses:

Credits Semester
MTH 9842 Linear and Quadratic Optimization Techniques 1.5 Spring
MTH 9845 Market and Credit Risk Management 3 Spring
MTH 9848 Elements of Structured Finance 3 Spring
MTH 9863 Volatility Filtering and Estimation 1.5 Fall
MTH 9865 Commodities and Futures Trading 1.5 Fall
MTH 9868 Advanced Risk and Portfolio Management 3 Summer
MTH 9873 Interest Rate Models and Interest Rate Derivatives 3 Fall
MTH 9875 The Volatility Surface 3 Fall
MTH 9879 Market Microstructure Models 3 Spring
MTH 9882 Fixed Income Risk Management 1.5 Fall
MTH 9883 Structured Security Valuation in the Primary Market 1.5 Fall
MTH 9891 Introduction to Applied Financial Econometrics 1.5 Winter
MTH 9893 Time Series Analysis 1.5 Spring
MTH 9894 Algorithmic Trading 1.5 Spring
MTH 9896 Behavioral Finance 1.5 Fall

Business School Elective Courses:

  • FIN 9782 Futures and Forwards Markets
  • FIN 9783 Investment Analysis
  • FIN 9786 International Financial Markets
  • FIN 9790 Seminar in Finance
  • FIN 9793 Advanced Investment Analysis
  • FIN 9797 Options Markets
  • STA 9700 Modern Regression Analysis
  • STA 9701 Time Series: Forecasting and Statistical Modeling

Schedule of Classes

Academic Year 2014-2015

Fall 2014

Instructor Type Credits
MTH 9814 Quantitative Introduction Financial Instruments Robert Spruill, State Street Required 3
MTH 9815 Software Engineering for Finance Alain Ledon, JPMorgan Required 3
MTH 9821 Numerical Methods for Finance Dan Stefanica, Baruch MFE Required 3
MTH 9831 Probability & Stochastic Processes for Finance Tai-Ho Wang, Baruch MFE Required 3
MTH 9865 Commodities and Futures Trading Mark Higgins, Washington Square Technologies Elective 1.5
MTH 9875 The Volatility Surface Jim Gatheral, Baruch MFE Elective 3
MTH 9876 Credit Risk Models Andrew Lesniewski, Baruch MFE Elective 3
MTH 9883 Deal Theory & Structuring Sylvain Raynes, R&R Consulting Elective 1.5

Spring 2015

Instructor Type Credits
MTH 9845 Risk Management Ken Abbott, Morgan Stanley Elective 3
MTH 9848 Elements of Structured Finance Sylvain Raynes, R&R Consulting Elective 3
MTH 9878 Interest Rate Models Andrew Lesniewski, Baruch MFE Elective 3
MTH 9879 Market Microstructure Models Jim Gatheral, Baruch MFE Elective 3
MTH 9893 Time Series Jay Damask, Bank of America Merrill Lynch Elective 1.5
MTH 9894 Algorithmic Trading Dmitry Rakhlin, Goldman Sachs Elective 1.5
MTH 9898 Data Science I: Big Data in Finance Andrew Sheppard, Fountainhead Elective 1.5
MTH 9899 Data Science II: Machine Learning Miguel Castro, Two Sigma Elective 1.5