Estimating travelers' mode choice is a major step in travel demand forecasting in the transportation planning processes. Traveler's mode choice takes into consideration the main factors affecting their decision making. The aim of this research study is to investigate the factors affecting the mode choice of Notre Dame University-Louaize (NDU) students. A Multinomial Logit Discrete choice approach is used to model the student's choice to commute to NDU between the available transport modes, private cars, shared taxis, taxis and public buses. The model results show that NDU students are mostly affected by the income, travel cost, and travel time. After the mode choice model is developed for NDU students, a comparison analysis is done between on the model developed for NDU students and another model developed for American University of Beirut (AUB) students, including a value of time (VOT) analysis. Results show that AUB students have resulted in a different mode choice model and higher value of time than NDU students.