Monte Carlo Error Estimation is a technique used to quantify the uncertainty in numerical solutions obtained through Monte Carlo simulations, which rely on random sampling to approximate complex mathematical problems. The error estimation helps in assessing the reliability of the simulation results by providing a measure of variance or confidence intervals, thereby guiding decision-making in fields like finance, physics, and engineering.