数据科学关注从数据中得出有用和有效的结论。数据科学家开发数学模型，计算方法和工具，以探索，分析数据并做出预测。他们询问有关数据的适当问题，并根据他们在主题领域的专业知识来解释预测。数据科学专业的主要目标是培养一代精通预测建模，数据分析和计算技术的学生。为此，除了学习数据科学模型和方法外，学生还将获得特定学科领域的专业知识。该专业还教育学生有关数据科学的社会影响，以便他们可以作为数据科学从业者做出负责任的决策。
Data science is concerned with drawing useful and valid conclusions from data. Data scientists develop mathematical models, computational methods, and tools for exploring, analyzing, and making predictions from data. They ask appropriate questions about data and interpret the predictions based on their expertise of the subject domain. The primary goal for the data science major is to train a generation of students who are equally versed in predictive modeling, data analysis, and computational techniques. To this end, in addition to learning about data science models and methods, students will acquire expertise in a particular subject domain. The major also educates students about the societal impact of data science so that they can make responsible decisions as data science practitioners.