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 (24 new courses taught by top practitioners introduced since Fall 2010), flexible (the number of required credits was reduced from 15 to 12, and the number of elective credits increased from 21 to 24 in Fall 2018), and streamlined (a core set of redesigned courses).


Cutting Edge Curriculum

Twenty-three new elective courses introduced since 2010:

MTH 9796 Natural Language Processing
MTH 9797 Advanced Data Analysis
MTH 9816 Fundamentals of Trading
MTH 9855 Asset Allocation and Portfolio Management
MTH 9863 Volatility Filtering and Estimation
MTH 9865 Commodities and Futures Trading
MTH 9866 Modeling and Market Making in Foreign Exchange
MTH 9868 Advanced Risk and Portfolio Management
MTH 9875 The Volatility Surface
MTH 9876 Credit Risk Models
MTH 9878 Interest Rate Models
MTH 9879 Market Microstructure Models
MTH 9882 Fixed Income Risk Management
MTH 9883 Structured Security Valuation in the Primary Market
MTH 9886 Emerging Markets and Inflation Modeling
MTH 9887 Blockchain Technologies in Finance
MTH 9891 Introduction to Financial Econometrics
MTH 9893 Time Series Analysis
MTH 9894 Algorithmic Trading
MTH 9896 Behavioral Finance
MTH 9897 Systematic Trading
MTH 9898 Data Science I: Big Data in Finance
MTH 9899 Data Science II: Machine Learning


Degree Requirements

To complete the degree, students must complete 36 credits: 12 credits by taking required courses and 24 credits by taking elective courses.

Required Courses

Course Name Credits Semester
MTH 9814 Financial Markets and Securities 1.5 Fall
MTH 9815 Software Engineering for Finance 1.5 Fall
MTH 9821 Numerical Methods for Finance 3 Fall
MTH 9831 Probability and Stochastic Processes for Finance I 3 Fall
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:

 Course Name Credits
MTH 9816 Fundamentals of Trading 1.5
MTH 9841 Statistics for Finance 1.5
MTH 9842 Linear and Quadratic Optimization Techniques 1.5
MTH 9845 Market and Credit Risk Management 3
MTH 9848 Elements of Structured Finance 3
MTH 9852 Numerical Methods for Finance II 3
MTH 9855 Asset Allocation and Portfolio Management 3
MTH 9862 Probability and Stochastic Processes for Finance II 3
MTH 9863 Volatility Filtering and Estimation 1.5
MTH 9864 Model Review for Quantitative Models in Finance 1.5
MTH 9865 Commodities and Futures Trading 1.5
MTH 9866 Modeling and Market Making in Foreign Exchange 1.5
MTH 9867 Time Series Analysis and Algorithmic Trading 3
MTH 9868 Advanced Risk and Portfolio Management 3
MTH 9871 Advanced Computational Methods in Finance 3
MTH 9873 Interest Rate Models and Interest Rate Derivatives 3
MTH 9875 The Volatility Surface 3
MTH 9876 Credit Risk Models 3
MTH 9878 Interest Rate Models 3
MTH 9879 Market Microstructure Models 3
MTH 9881 Current Topics in Mathematical Finance 3
MTH 9882 Fixed Income Risk Management 1.5
MTH 9883 Deal Theory and Structuring 1.5
MTH 9886 Emerging Markets and Inflation Modeling 1.5
MTH 9887 Blockchain Technologies in Finance 1.5
MTH 9891 Introduction to Applied Financial Econometrics 1.5
MTH 9893 Time Series Analysis 1.5
MTH 9894 Algorithmic Trading 1.5
MTH 9896 Behavioral Finance 1.5
MTH 9897 Systematic Trading 1.5
MTH 9898 Data Science in Finance I: Big Data in Finance 1.5
MTH 9899 Data Science in Finance II: Machine Learning 1.5
MTH 9901 Independent Study – Internship 1.5
MTH 9796 Statistical Data Analysis 1.5
MTH 9797 Advanced Data Analysis 1.5
MTH 9760 Big Data Technologies 3

Zicklin School of Business Elective Courses:


Schedule of Classes

Academic Year 2021-2022

 

 Fall 2021  Name Instructor Type Credits
MTH 9814 Quantitative Introduction Financial Instruments Robert Spruill, State Street Required 1.5
MTH 9815 Software Engineering for Finance Breman Thuraisingham, Morgan Stanley Required 1.5
MTH 9816 Fundamentals of Trading Jarrod Pickens, Baruch MFE Elective 1.5
MTH 9821 Numerical Methods for Finance Dan Stefanica, Baruch MFE Required 3
MTH 9831 Probability & Stochastic Processes for Finance Elena Kosygina, Baruch MFE Required 3
MTH 9842 Optimization Techniques in Finance Andrew Lesniewski, Baruch MFE Elective 1.5
MTH 9893 Time Series Analysis Andrew Lesniewski, Baruch MFE Elective 1.5

 

 Spring 2022  Name Instructor Type Credits
MTH 9845 Market and Credit Risk Management Ken Abbott, Barclays Elective 3
MTH 9855 Asset Allocation and Portfolio Management Gordon Ritter, GSA Capital Elective 3
MTH 9878 Interest Rate and Credit Models Andrew Lesniewski, Baruch MFE Elective 3
MTH 9879 Market Microstructure Models Jim Gatheral, Baruch MFE Elective 3
MTH 9898 Data Science I: Big Data in Finance Giulio Trigila, Baruch MFE Elective 1.5
MTH 9899 Data Science II: Machine Learning Adrian Sisser, Seven Eight Capital Elective 1.5

 

 Fall 2022  Name Instructor Type Credits
MTH 9866 Modeling and Market Making in Foreign Exchange Mark Higgins, Beacon Elective 1.5
MTH 9875 The Volatility Surface Jim Gatheral, Baruch MFE Elective 3
MTH 9887 Blockchain Technologies in Finance Andrew Lesniewski, Baruch MFE Elective 1.5
MTH 9897 Systematic Trading Dmitry Rakhlin, Goldman Sachs Elective 1.5
MTH 9903 Capstone Project and Presentation Core Course 3