The Heston model is a widely used stochastic volatility model for option pricing. To apply it in practice, its five parameters must be calibrated to match observed market option prices. This project compares two calibration methods using the same market dataset: Carr–Madan FFT pricing with global search optimization and direct numerical integration with least-squares optimization.