BS in Data Science

Students trained in Data Science will study a blend of topics from many subdomains of communications, philosophy, mathematics, computer science, and information science. A data scientist has a breadth of experience across all of these fields but may not have as much knowledge as a specialist in any particular field. Furthermore, a data scientist trained at William & Mary is equipped to consider the philosophical and moral implications of algorithm development and data collection and the societal ramifications that new approaches to data manipulation could have.

This combination allows William & Mary Data Science students to (a) efficiently conduct computational analyses within their knowledge domain, (b) manage teams of more specialized individuals to answer far-ranging questions, and (c) communicate technical findings to a wide variety of audiences. Individuals with this knowledge profile are revolutionizing a wide set of domains and are in very high demand not just by faculty researchers at William & Mary, but also by the public and private sectors.