Monte Carlo Simulation is a computational technique that uses random sampling to estimate complex mathematical models and assess the impact of risk and uncertainty in forecasting models. It is widely used in fields such as finance, engineering, and project management to model scenarios and predict outcomes where analytical solutions are difficult or impossible to derive.