These limiting pedagogical opportunities require changes in curriculum at earlier stages in a student's career. A proactive approach to increasing the pool of job candidates in big biological data science is to increase the number of bachelor degree granting programs for bioinformatics or a similar field. However, this can take many years to get approval across various offices within the university and the state. Another approach is to integrate exposure to data science within existing undergraduate majors. There have been numerous efforts in chemical education to build on chemistry curricula to integrate data science and computing . These courses provide novel opportunities for undergraduates majoring in chemistry to get introductory level exposure to concepts in computing and data science so that they can gauge their interest level in this discipline. The limitation to this approach, however, is that many students are risk averse and hesitant to try something completely different (e.g. coding in python), unless they have already had some exposure to it. Another limitation is that these specialty courses are primarily attended by chemistry majors, which means a large number of non-chemistry undergraduates may not have satisfied the pre-requisites or may not be able to accommodate the extra classes in their schedules.