More Math for Data Scientists, Not Less

As undergraduate data science programs continue to spring up across the country, the time has come for mathematical sciences departments to rethink their traditional sequence of courses. As Jo Hardin and Nick Horton (2017) point out, to do nothing is to risk being left behind—an outcome that will leave mathematical sciences departments with lower enrollments and data scientists with insufficient mathematical training. Data science students need more math, not less, but the typical sequence of mathematics courses does not meet their needs.

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