Securing food safety is one of the priority political tasks of almost every country. Assessment of risk in its microbiological aspect is a systematic process of identification and evaluation of hazards resulting from microbiological contaminations. Predictive microbiology that serves identification and understanding of microorganisms’ ecology in food, influence of the technological process, distribution and storage on their survival and inputting that information into devices and systems monitoring the technological process is the tool of risk assessment. The reaction of microorganisms to the environment can be presented in the form of predictive models. The aim of studies was to construct mathematic models of Listeria monocytogenes 38 growth in sterilization milk during storage at 3-15^oC and compare them with estimations based on Pathogen Modeling Program 7.0 (PMP 7.0). Microbiological tests were carried out using the impedimetric method (monitoring system Bactometer M64 - Biomerieux). The behaviour of Listeria monocytogenes 38 in milk was presented in the form of a regression function with 95% confidence level and a cumulative model (polynomial response surface). Selected results of analyses were compared with predictions obtained from the PMP ver. 7.0 software. It was established that models obtained from tests on the specific product were different from those obtained on the basis of microbiological media. The predictive models that might be useful in creating microbiological quality should be constructed for each type of food individually.