1. Training the data scientists this era needs

We are now on the verge of reaching a historic milestone known as the super-smart society. Within the Faculty of Information Science and Technology, which has trained information technology specialists, the Department of Data Science will train people with a command of AI (artificial intelligence), ICT (information and communication technology) and big data, as students learn about societal and business structures based on information technology and become equipped with the combination of a mindset for value creation, the ability to solve problems, and communication skills.

2. Practical learning that integrates the sciences and the humanities, which will change societal and business structures

Recent developments in information technology have had a significant impact on corporate activities, as well as on social systems and individuals. In particular, the spread of the Internet and smartphones has been the driving force behind the creation of new industries. Massive quantities of data collected by smartphones and IoT devices, as well as methods of analysis conducted via computers and AI, have allowed us to learn things we never knew before. Notably, human behavioral analysis has made advances, and we can imagine that it will have a great impact on marketing and other fields, as well as the inheritance of techniques in manufacturing. Initially, information systems were introduced in companies and other organizations with a focus on speeding up business processes, saving labor and providing support for decision-making. However, from now on, they will be developed for more strategic purposes and to create new value.

3. Learning that cuts across departmental lines

The strength of the Department of Data Science is that it has been established within the Faculty of Information Science and Technology. This is because value creation through data science is closely related to information science. The automatic collection and storage of various types of data, the statistical analysis of very large quantities of data, verification via simulations, and the visualization of that data, are all based on information technology. In conjunction with the Department of Information and Computer Science, the Department of Information Systems, the Department of Media Science, and the Department of Network Design, the Department of Data Science has an environment in which to work towards the creation of value and its implementation. We also have access to the information technology accumulated in the four other departments.

Information technology, statistical analysis and management systems are the pillars of education and research at the Department of Data Science. These fields are not completely independent, but have areas of overlap with each other. The Department has unique course offerings such as statistical analysis, data mining (which includes text mining), AI, machine learning, pattern recognition, IoT, visual programming, and modeling and simulations. Graduates of the Department, who will learn about these three fields not just through theory but through practical exercises, are expected to flourish as system engineers and data scientists who can create new value.

Department of Data Science