A Data Analytics Study in the Influence of Top Universities over World-Class Cities Based on QS Best Cities Ranking

Attracting the best students to top world universities has become a social phenomenon that challenges host university cities in accommodating those students every year. This article presents an analysis of methodology developed by QS Best Student Cities Ranking, using a set of six variables and one goeal variable The goal is to provide students, parents and governors with a methodology that allows them to assess the quality of life in different cities of the world and how they can improve the experience of international students. We present a model for ranking Best Student Cities using QS Dataset with five years of data (2014-2019) and 120 cities. The model is built using data mining techniques that include correlation and multivariable panel data to find city trends in improving their position with respect to the six indicators established in the QS methodology. Our study reveals the impact that higher education influences on the public image of cities worldwide and provides a useful tool for city majors, students, and parents, granting them an insight on what higher education students seek to achieve a successful university experience.