Statistics can be applied almost anywhere; to reflect this, the concentration allows many opportunities to learn about how statistics is used in other fields; by definition, statistics should not be studied in isolation. The concentration requirements can be fulfilled via any of the four tracks:
The general track is the most flexible track, providing a foundation in principles and techniques for statistical theory, methods, and applications. This foundation can be applied to a myriad of fields. As John Tukey said, "The best thing about being a statistician is that you get to play in everybody else's backyard."
The data science track explores the interface of statistics and computer science. Courses involve a mixture of these fields, with applications to areas such as prediction, recommendation systems, and analysis of massive data sets.