Major
As technology develops and grows at increasingly high rates, the need for data analytics and visualization subsequently increases. The interdisciplinary data science major — a collaborative effort between the College of Letters and Science and the College of Engineering — prepares students to collect, manage and analyze data, to consider the ethical and societal impacts of data science, and to communicate their discoveries effectively. By combining technical skills such as programming with an understanding of the social and human contexts of data collection and analysis, students will be able to utilize their skills in a variety of careers.
Requirements
The data science major includes a foundations track focused on statistics, mathematics and computer science. An introductory course sequence has been added in “Statistical Data Science.” In computer science, new courses include “Databases for Non-Majors,” “Introduction to Algorithms for Data Science” and “Data Processing Pipelines.” Major requirements also include coursework in statistics, calculus, linear algebra and programming.
