The main aim of this work is to apply the probabilistic homogenization method for the periodic fibre-reinforced composite material, whose components are metallic and may be subjected to the stochastic ageing processes. This homogenization method is mathematically based on the effective modules method, computational implementation is done thanks to the plane strain Finite Element Method code extended with the Monte-Carlo simulation and estimation algorithms. Initial material parameters of the fibre and matrix are modelled as the Gaussian random variables with the specified first two probabilistic moments. The stochastic aging processes are modelled as the linear decay of the Young moduli for the fibre and the matrix from their initial expectations and standard deviations using the ageing velocity defined as the Gaussian random variable also. The computer system MCCEFF used here, consisting of all necessary stochastic homogenization algorithms, allows to compute all necessary probabilistic moments and coefficients for certain time moments within the ageing history. As it is clear from the preliminary studies, the expected values of all homogenized tensor components decrease linearly in time, while their variances – apparently nonlinearly increase within the ageing time interval.