The high risk of extinction of fauna species has generated great interest in studies of current and potential distribution under different future scenarios of climate change in order to implement conservation policies and carry out the preservation of ecosystems that can serve as reservoirs of biodiversity. The objective was to generate maps of potential distribution in two climate change scenarios of the Mexican Squirrel (Sciurus oculatus Peters, 1863) to serve as a basis for determining protection, conservation and management zones for this species in the Trans-mexican volcanic belt by means of ecological niche simulation models. We used 105 pairs of S. oculatus occurrence data from the GBIF-Mexico database, 19 climatic and environmental variables (BioClim) for two scenarios 2041-2060 and 2061-2080, from the GCM model CNRM-CM6-1 with RCP4.5 and RCP8.5, in addition to the current potential distribution. The Maximum Entropy Algorithm was used to generate the suitability maps using suitability values of 0.4-0.6 low, 0.61-0.8 medium and 0.81-1.0 high. The largest area with high suitability was the northwestern region of the State of Mexico; the areas with high suitability comprised 6359 ha (4 %), medium of 23,510 ha (14.7 %) and low of 26750 ha (16.7 %), for a present potential distribution. It is concluded that the modeling with Maxent’s algorithm allowed generating potential distribution maps in two future scenarios for the Mexican Squirrel (Sciurus oculatus Peters, 1863) with values of AUC > 0.959 and kappa > 0.8923.