A master's program based on field data and measurable results.
What else would you expect from a bunch of quants?
When we set out to create a Master of Science in Quantitative Finance (M.S.Q.F.) program, we left nothing to chance.
Right from the beginning when the program's curriculum design was based on the feedback and input from industry experts, the Program constantly seeks input from senior industry professionals and has maintained its distinctive focus on applied, cutting-edge, quantitative techniques. The emphasis of the current curriculum on AI, ML, FinTech, and Computational Finance reflects this focus.
By continually optimizing our curriculum in consultation with industry experts, we've achieved remarkable results: 85 to 90% of our graduates find jobs within three months of graduation. Within six months, that figure approaches 100%.
M.S.Q.F. overview
The Gabelli School M.S.Q.F. degree prepares students to capitalize on the financial industry's growing reliance on quantitative analysis. By mastering skills in data science, modeling, finance theory, machine learning, fintech, and computer programming, students position themselves to land some of the financial world's most sophisticated and competitive jobs.
The rigorous curriculum develops skills in:
- Derivative instruments and valuation
- Machine learning in finance
- Fixed income and interest-rate modeling
- Big data analytics in finance
- Quantitative portfolio management
- Credit risk management
- Textual analysis in finance
- Fintech/ blockchain