As executives of non-profit and for-profit organizations think about the organization's medium- to long-term strategy, the department that develops the strategy, under the direction of the executives, collects and analyzes the information. For example, in the case of marketing(demand-side data) research, executives may order the marketing department to conduct street research to determine the preferences of the target audience, and the analysis works to uncover the cause-and-effect relationship. In the late 1990s, the explosive spread of information technology made it possible for individuals to use IT to search and collect information, and organizations could easily accumulate a wide variety of information about their customers as data, such as their purchase history. With further advances in information technology in the 2010s, we have been able to keep large amounts of data at a large scale. The infrastructure is being developed to analyze, extract new knowledge and create value. In recent years, these large amounts of data are referred to as big data. One of the optimal statistical analysis, correlation analysis, which investigates the relationship between two factors, has been used in some cases to make decisions. In addition, in May 2013, the government announced the “Creation of the World’s Most Advanced IT Nation” declaration as the new IT strategy of the second Abe cabinet regarding open data, which declares the public data held by the government will be provided to the people in a form that can be used for secondary purposes, and aims to realize the creation of new businesses and innovation through public-private cooperation by interconnecting it with data held by companies. Further use of these data is changing the social systems of markets, organizations, citizens and governments. In this course, in order to develop human resources that can respond to the above social systems, we aim to integrate IT, analytics, and design in order to nurture human resources that will lead to the development of data scientists who can conduct research on architects who handle big data and understand information strategies that include systems.