MS in Quantitative Finance

39 credits
Full Time
stem program
GMAT RANGE (MID-50%)*
680-720
*two year average
student population
21% female 79% male
41%
Received Merit-Based Scholarships
Behind every great financial-services firm, one finds great quantitative analysts. The MS in Quantitative Finance program prepares students to fill these crucial roles, teaching them how to construct models, analyze data, and write programs. In addition to multiple programming languages, the curriculum covers mathematical and statistical modeling techniques, as well as financial technology, all framed in the context of actual financial problems.
Female student looking serious

APPLIED AND EXPERIENTIAL LEARNING

  • Internship opportunities in top financial-services firms in New York City
  • Research opportunities in machine learning, algorithmic trading, and financial analytics
  • Seminar series with leading industry professionals

EXTRACURRICULAR ENGAGEMENT

  • The Fordham Quantitative Finance Society aims to elevate students’ technical skills. Ongoing networking nights help students to best position themselves for the top financial-services firms.
  • Research Centers:
    • Center for Research in Contemporary Finance
    • The Frank J. Petrilli Center for Research in International Finance
Female student looking serious
The following prerequisites are required:
  • Basics of Finance*
  • Basics of Economics*
  • Financial Accounting*
  • Ordinary Differential Equations
  • Mathematics
  • Computer Programming
  • Linear Algebra
  • Multivariable Calculus
* Only these courses may be completed at Gabelli. The other prerequisite courses must be completed prior to starting the program.
students walking on a cross walk and smiling
students inside sitting on couches working on their computers

RECENT EMPLOYERS OF MSQF GRADUATES

BofA Securities, Bloomberg, Citigroup, Credit Suisse, Deloitte, JPMorgan Chase & Co., Moody’s, Morgan Stanley, Numerix, RBC Capital Markets, Société Générale

CAREER PATHS

Financial Engineer, Quantitative Developer, Quantitative Researcher, Risk Analyst

ALUMNI PERSPECTIVE

Yuan Peng, MSQF ’14
Associate, JPMorgan Chase
“The Gabelli experience is not just about learning from the best, though that is part of it. More importantly, I find that the core values of hard work, curiosity, and honesty have stuck with me in both my career and my personal life.”
The MS in Quantitative Finance program focuses on:
  • Advanced finance theory
  • Algorithmic trading
  • Big data analytics in finance
  • Blockchain applications in finance
  • Computational finance
  • Derivatives analytics
  • Machine learning and econometrics
  • R/Python/C++ for finance
  • Risk management
For more on this program’s curriculum, visit the Gabelli School of Business Bulletin website.
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