The document provides a brief history of data science as an academic field, outlines current data science educational programs, and predicts future trends. It notes that data science emerged from a series of academic concepts in the 1960s and gained popularity in the 2000s. Currently, there are three main educational paradigms for data science: business analytics, data science, and data engineering. The document also discusses best practices in data science education and predicts that future trends may include increased specialization, collaboration between education and industry, and evolving skills demands.