A methodology for monitoring extrusion process using in-line fiber-optic near-infrared spectroscopy is introduced in this paper. Fiber-optic sensor and sensing system are also designed. Predictive calibration models of NIR spectra are developed for monitoring of polymer composition and concentration by using multiple linear regression techniques and artificial neural networks.