The concentration requirements can be fulfilled via any of four tracks: a General track in core statistical principles and methods, a track in Data Science, a track in Quantitative Finance, and a track in Bioinformatics and Computational Biology (BCB). The diploma and transcript do not list the student’s track; all four tracks lead to the same degree: Bachelor of Arts in Statistics.
The general track provides students with a set of methods for making decisions in the face of risk and uncertainty, and for making sense of complex data arising from many applications. The data science track explores the interface of statistics, computer science, and application areas, emphasizing topics such as prediction, machine learning, and analysis of massive data sets. The quantitative finance track gives strong preparation for many careers in finance and actuarial work, and involves a mixture of Statistics and Economics coursework. The BCB track mixes together biology, statistics, and computation, giving models and tools for studying biological data such as gene and protein sequences.