The paper presents an investigation on the mode choice behavior of post-secondary students commuting to school in the city of Toronto. It uses a large-scale dataset collected through a web-based travel diary survey among all students of four universities (seven campuses) in Toronto. Multinomial logit, nested logit and cross-nested logit models are used for investigating home to school trips mode choices. Empirical models reveal that the mode choice behavior of female students who travel to downtown campuses differ significantly from female students who travel to suburban campuses. Female students who travel towards downtown are more transit and active mode oriented than those who travel towards outside of downtown. This study also shows mobility tool ownership (ie, transit pass, car and bike ownership) and age groups have distinctive influences on student’s mode choice behavior. In the context of policy implementation, shuttle bus services can be introduced which will connect the downtown and suburban campuses to improve the transit ridership in the suburban areas. Furthermore, if bike and ride mode is encouraged during peak hour commuting, there is likely a large amount of latent demand for this mode.