The Box-Jenkins Methodology is a systematic approach to identifying, fitting, and checking ARIMA models for time series forecasting, emphasizing the importance of stationarity and model diagnostics. It involves iterative cycles of model identification, parameter estimation, and diagnostic checking to ensure the model's adequacy and accuracy for forecasting future data points.