Curriculum report
There is a different philosophical approach to how undergraduate courses present analytics and data science, as opposed to the graduate side. For instance, while programs at both levels offer emphasis on concepts like algorithms, machine learning and big data, undergraduate programs have a much heavier focus on the ethics associated with the use of these technologies, in addition to decision support systems.
Even though both levels obviously emphasize technology, graduate curricula are heavier on data mining and business intelligence. The software tools used in graduate programs also tend to be more ambitious — so, for instance, less Excel, more Python. Finally, courses emphasizing data and analytics go from pick and choose at the bachelor’s level to requirements for master’s degrees.