Curriculum

Required for Graduation (48 hours)

First Semester (Fall)

Course Course Title Credit
FIN 500 Introduction to Finance 4 hours
IE 598 Machine Learning (first 8 weeks) 2 hours
FIN 580 Economics of Stock Market Fundamentals (second 8 weeks) 2 hours
IE 522 Statistical Methods in Finance 4 hours
IE 523 Financial Computing 4 hours
IE 527* Professional Development  
Total: 16 hours

Second Semester (Spring)

Course Course Title Credit
IE 525 Numerical Methods in Finance 4 hours
FIN 512 Financial Derivatives 4 hours
FIN 567 Risk Measures and Management 4 hours
IE 526 Stochastic Calculus in Finance 4 hours
IE 527* Professional Development  
Total: 16 hours

Summer Internship

Third Semester (Fall)

Course Course Title Credit
IE 524 or IE 534

Optimization in Finance or Deep Learning

4 hours
FIN 516 or FIN 566 Term Structure & Valuation or Algorithmic Market MicroStructure 4 hours
IE 597/FIN 590 Financial Engineering Project 4 hours
400/500 level Electives 4 hours
Total: 16 hours

 

 

*Strongly recommended for registration