Data Science, B.S.

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The B.S. in Data Science equips students with the skills and technology required to successfully work with the enormous amounts of data now generated by business, industry, and the sciences. The major itself is interdisciplinary, combining mathematics, statistics, computer science. and information systems into a coherent curriculum covering data exploration and analysis, data manipulation, data transmission and storage, prediction, machine learning, and visualization and presentation.

120 Overall Credits Required


Liberal Education Program

47 Credits Required

Students must complete a comprehensive three-tiered Liberal Education Program (LEP). View all requirements of the tiers on the Liberal Education Program.

While the choice of courses that fulfill the requirements is generally left up to students, some departments require that students select specific courses to complement their major. This major has specific Tier requirements/restrictions for the following:

Tier 1 - Quantitative Reasoning:
MAT 122 - Precalculus

Tier 3 - Connections
DSC 490 - Data Science Capstone Project

Writing Requirements (“W-Courses”)

Three W-courses are required. These may not be taken until after a student has passed ENG 112 — Writing Arguments. W-courses may count toward LEP, major, or cognate requirements, as well as free electives. Course sections that meet this requirement are designated by section numbers ending in “W”.

Transfer students who enter with 60 to 89 credits are required to pass two W-courses, while transfer students who enter with 90 credits or more must pass one W-course.


63 Credits Required



Remaining credits to reach Overall Credits Required (listed above).