Imagine a society with an abundance of data science trained human resources who can create new value from the vast amount of data accumulated every day. A society in which data science professionals continuously challenge themselves to develop new solutions to every day social environment problems.
The foundation of the Graduate School of Data Science’s Data Science major lies in the necessity to solve the lack of awareness of the importance of knowledge in the field of conventional data analysis. With that, we make it our mission to provide an education centred on Project-based Learning (PBL). Students will learn the three fundamental data science skills of data analytics, data engineering, and social development, and will be challenged to implement their knowledge in solving real world problems.
Building on the 3 Foundational Skills of Data Science
Acquiring theoretical knowledge and contributing to the development of society through PBL
Extensive guidance system in each specialized area
In order to nurture specialized data science skills, we have established a system that allows us to receive generous guidance from full-time faculty members assigned to specialized fields such as science, informatics, health sciences, pedagogy, and agriculture. In addition, the analytics, engineering, and social development skills required for data science research are organically entangled, allowing you to acquire true data science capabilities without closing into individual specialized fields.
Practical exercises in which everyone participates
While studying basic theory, students will focus on practical data science exercises. Students will learn to recognize and clarify the problems at the site through reflective thinking and observation, make hypotheses, draft research plans, verify the validity of the hypotheses, and make inferences based on them. Students can acquire data science skills through a series of processes of verifying the usefulness of theory through social implementation.
Exceptional and unique curriculum
The curriculum provides a well-balanced way of cultivating the three fundamental skills of data analytics, data engineering, and social development. In particular, the establishment of "Practical Data Science Exercises" rooted in problem-solving learning is a major feature.