Graduate Degree Program of Comprehensive Applied Data Science
With the rapid progress of digitalization, the skills required of professionals are changing day by day. In order to meet such human resources needs, this degree program aims to develop highly specialized professionals who can utilize data in the field of organizational management, and the utilization of data in a wide range of fields. We have established a "Data Application Infrastructure / Course" that aims to develop highly specialized professionals who can be promoted. Through advanced education and research, we will develop human resources who can play a leading role in various fields that handle data.
Program features
This degree program is a cross-disciplinary curriculum consisting of various specialized fields organized beyond the boundaries of existing fields under the cooperation of 10 graduate schools within the university, utilizing the graduate school linked course system *. By learning for problem discovery and problem solving independently and autonomously, students acquire basic knowledge of data science and practical ability to utilize data, and various fields and data related to organizational business management are utilized. Highly specialized professionals who can contribute to the real world by setting academic and social issues themselves, planning, implementing and evaluating solutions in various fields, and solving problems in collaboration with data scientists. We are aiming for training. In order for students to take lessons flexibly, classes using LMS (learning management system), web conferencing system, etc. will be held for basic and specialized subjects. By using LMS, it is possible to efficiently submit assignments and obtain advance materials related to classes, and it is also possible for teachers to provide sufficient guidance such as answering questions via the Internet. Research guidance is based on face-to-face guidance, but online guidance is also provided using a web conferencing system.
* The graduate school linked course system is a system that allows you to set up a curriculum with the cooperation of existing multiple graduate schools.
The number of credits required to complete is 30 credits.
As compulsory subjects, students are required to earn 14 credits from foundation subjects and 10 credits from specialized subjects, totaling 24 credits.
As required elective subjects, students are required to earn 6 credits from the course of their choice from among the specialized subjects. Course selection procedures will be carried out after enrollment. *Students enrolled in the Organizational Management Data course can enroll in the Data Application Foundation course "Business Strategy and Marketing Science."
In principle, students are required to take and complete the "Data Science Specific Topic Seminar" (4 credits) offered by their supervisor in 1st year, and the "Data Science Specific Topic Research" (6 credits) in the first and 2nd year.
Duplicate courses of the same subject are not allowed.
About Completion
Students will complete the course upon completing the required number of credits and passing the examination for specific research topics.
