Bachelor's Major
Quantitative Finance
Quantitative Finance is where Wall Street meets Rocket Science. This discipline treats financial markets as complex physical systems governed by the laws of probability and calculus. Students strive to model the stochastic nature of assets, price exotic derivatives, and manage risk using heavy-duty mathematics and high-performance computing. It is a field for those who trust numbers over gut feeling.
Admission & Aptitude
Advanced Multivariable Calculus
Linear Algebra (Eigenvalues/Eigenvectors)
Coding proficiency (C++/Python) for algorithmic implementation
High tolerance for pressure and risk
Curriculum Pillars
Risk & Markets
Mathematical Finance
Computational Finance
What You'll Learn
How to price complex financial assets using probability and calculus.
Build and backtest systematic trading strategies.
Manage portfolio risk using Value-at-Risk (VaR) and simulation methods.
Learning Style
Intense and mathematical. This is effectively an applied math/physics degree focused on markets. Expect to build complex models in C++ or Python to simulate market scenarios. It is high-stakes and high-precision.
Is This You?
You have nerves of steel and trust math over narrative.
You competitive and thrive in meritocratic environments.
You enjoy high-speed, high-stakes problem solving.
Career Outcomes
Quant Trader: Algorithmic high-frequency trading.
Risk Manager: Protecting banks from catastrophic market exposure.
Financial Engineer: Structuring new investment products.
Typical Roles
Core Industries
Explore All Majors
View All