Ranking is a key decision-making factor for students in their university selection process. Ranking methodology and criteria can vary significantly across different ranking systems and it can be difficult to understand and compare various ranking systems. Our study focuses on comparing university rankings by 3 reputable ranking systems and identifying potential biases across the different ranking systems. We aim to provide students meaningful insights and help them in their university research process.
We analyzed the results of 3 major university ranking systems across multiple years and created visualizations to represent our findings.
Time University Rankings (UK) - 2011 to 2016
CWUR Rankings (Saudi Arabia) - 2012 to 2015
Shanghai Rankings (China) - 2005 to 2015
For a more detailed description of the project, the tools used, and the source code, please visit our Github page.
Information Management graduate student majoring in Data Science at University of Washington
Information Management graduate student majoring in Data Science at University of Washington
Information Management graduate student majoring in Data Science at University of Washington
Information Management graduate student majoring in Data Science at University of Washington
Project for INFX 575 - Data Science Scaling, Application and Ethics, Summer 2016, University of Washington School of Information
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