Secondary Field in Data Science
Doctoral students from across the Graduate School of Arts and Sciences can complete a Secondary Field in Data Science
Completion of the Secondary Field will equip students with rigorous statistical and computational methods for managing, analyzing and visualizing data to answer questions from whatever physical, social, or applied science domain they are working in. The Secondary Field offers strong preparation in statistical modeling, machine learning, optimization, management and analysis of massive data sets, and data acquisition. Students completing the Data Science Secondary Field will be exposed to topics such as reproducible data analysis, collaborative problem solving, visualization and communication, and security and ethical issues that arise in data science.