Electromagnetic wave scattering is a useful area in terrestrial and satellite communications, detection and tracking military and non-military targets, and even diseases detection and treating. In many situations target or environment or boundary conditions are so complicated that we can't model the problem accurately. For example: propagation and scattering of wave in different layers of atmosphere, scattering from vegetation and urban coverage having much and various scatterers, wave propagation in rainy air with many time and space varying scatterers, and scattering of rough surfaces like earth and sea. Different methods have been used for solving this group of problems that can be classified in three major categories: a) Numerical b) Asymptotical c) Hybrid.In this thesis the main aim is scattering from sea surface that have many applications in sea communications, meteorology, detection and tracking of ships, submarines, rockets, etc. First the asymptotical methods for scattering from rough surface (especially small perturbation method and Kirchhoff approximation) are introduced. Then the problem of random scattering by combining method of moment (MoM) with Monte Carlo is solved numerically. For this, a method to generate random processes is presented and the random surfaces are generated in sufficient number and for each surface electrical field integral equation with Dirichlet boundary condition is solved by MoM. Finally, solution of the problem is average of radar cross section. The results of simulation are compared with asymptotical method and validated by other works. Then a boat is added to sea surface and radar cross section of both with considering of height varying random sea surface is simulated. At the end, statistical analysis of the phase of scattered wave from rough sea surface is presented. Keywords :1- Random scattering 2- Random sea surface 3- Radar cross section of boat 4- Monte Carlo