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Undergraduate Data Science

In recognition of the emerging and immensely important field of “big data,” the University of San Francisco has established a Bachelor of Science degree in data science (BSDS).  This major is a challenging and interdisciplinary program that engages the student in rigorous academic training in the rapidly developing field of data science.  The student will gain significant mathematical and quantitative skills, strong programming experience and flexible training to attack problems in burgeoning data-intensive fields such as economics, biology, computer science and many others. 

The core of the BSDS major is focused around training in mathematics and computer science with 52 units distributed among these two departments, along with one economics course.  This core represents the backbone of the training that will uniquely prepare a student with an impressive array of mathematical, statistical and computational skills to confidently enter the new field of “big data” careers. In addition, each student chooses one of three concentrations, depending on his or her area of interest.  These concentrations include mathematical data science, computational data science, and an economic data science focus for a total of 68 units. 

This is a large major, but comparable with other science majors such as Chemistry and Biology. As with those majors, this is intended for focused, well-prepared students who are interested in spending the bulk of their college career developing skills within their major. 

In addition to being career-ready upon graduation the student will be ready to continue into graduate training programs in analytics, financial engineering, computer science, economics and applied mathematics. The most successful students in this program will have the option to enroll in a 4+1 program with USF’s own Masters in analytics, where the student can complete her professional training with further course work and an industrial practicum where the student will gain hands on experience working with companies around the Bay Area on big data problems.