Monte Carlo Methods are a class of computational algorithms that use repeated random sampling to obtain numerical results. They are particularly useful for solving problems that are deterministic in nature but may have a large number of uncertain components. For instance, in finance, they're used to simulate asset prices, accounting for complex variables like interest rates. They relate closely to stochastic processes and help in estimating probable outcomes.