The modern world is in the midst of a “Data Revolution.” In the past, what propelled nations to success, in the Industrial Revolution, was general manufacturing literacy. In essence, a “manufacturing literate” society equaled an innovation-rich country. Today, we do not have general “data literacy” for this new Data Revolution. Data that can be used to benefit health, energy, manufacturing, and the environment lay unused because of a lack of workforce and managers with the skills to understand the data, its tools, and its uses. Universities and academic institutions broadly have taken up the mantle of trying to educate and train the data scientists and data-enabled professionals of the future. The question, however, of how data science fits into a university is still an open one. Here, we will explore models for data science education from academic institutions across the country and gain perspective on the pros and cons if different approaches.