统计学提供了定量的方法来分析数据，在不确定性下做出合理的决定，设计实验以及对世界中的随机性和可变性进行建模。统计学具有理论核心，被人类学，天文学，生物学，商业，化学，计算机科学，经济学，教育，工程，环境科学，流行病学，金融，政府，历史，法律等领域的众多应用领域所包围，语言学，医学，物理学，心理学，社会学等等。《纽约时报》的一篇文章在标题为“今天的毕业生，一个字：统计”的文章中指出了对统计学家的日益增长的需求。BCB路径将生物学，统计和计算结合在一起，为研究生物学数据（例如基因和蛋白质序列）提供了模型和工具
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 BCB track mixes together biology, statistics, and computation, giving models and tools for studying biological data such as gene and protein sequences. This is motivated in part by the recent explosion of size and complexity of data in the biological sciences, which has required the development of new statistical methods and models, such as models for gene and protein motifs search, phylogenetic reconstruction, and gene expression analysis.