Equivalent to graduate studentsExpert level plus
The goal for students is to emerge as top-level researchers and engineers equipped with expertise in cutting-edge data science and AI technologies such as generative AI essential for problem-solving, as well as a profound understanding of AI ethics, information-related legal frameworks, and technologies facilitating the responsible use of AI in society.
Program overview
The goal for students is to emerge as top-level researchers and engineers equipped with expertise in cutting-edge data science and AI technologies such as generative AI essential for problem-solving, as well as a profound understanding of AI ethics, information-related legal frameworks, and technologies facilitating the responsible use of AI in society.We provide master's and doctoral students with opportunities to delve into advanced methods of data science and AI, alongside tackling related social challenges not covered in "Fundamentals of Artificial Intelligence."
Eligible Students
Students enrolled in the graduate course in AY2024 or later.
Completion Requirements [Master's students]
Master’s students must earn one credit from course group (A), at least one credit from course group (B), and a total of three credits from course groups (A), (B), and (C).
Course group (A)
Advanced Courses - "Advanced Data Science and Artificial Intelligence III"
*For AY 2025, this course will be taught in Japanese in 2Q and in English in 4Q.
Course group (B)
Advanced Courses - "Advanced Data Science and Artificial Intelligence I"
"Advanced Data Science and Artificial Intelligence II"
Course group (C)
Advanced Courses - "Advanced Data Science and Artificial Intelligence IV"
For details, please refer to the Study Guide.
Completion Requirements [Doctoral students]
Doctral students must earn one credit from course group (A), at least one credit from course group (B), and a total of three credits from course groups (A), (B), and (C).
Course group (A)
Advanced Courses - "Progressive Advanced Data Science and Artificial Intelligence III"
*For AY 2025, this course will be taught in Japanese in 2Q and in English in 4Q.
Course group (B)
Advanced Courses - "Progressive Advanced Data Science and Artificial Intelligence I"
"Progressive Advanced Data Science and Artificial Intelligence II"
Course group (C)
Advanced Courses - "Progressive Advanced Data Science and Artificial Intelligence IV"
Co-creative Courses - "DS&AI Doctorial Forum 1"-3
For details, please refer to the Study Guide.
Course Registration
The following application and registration are needed for the course to be recognized as completed.
(1) Course application for registration: Web System for Students and Faculty
(2) Registration in education program: Please access the MS Forms here
*You can register either before or after taking part or all of the courses required for completion.
Additional course registration is possible. In such cases, you must complete both (1) and (2) above. Performing only one will not be reflected to the other.
Completion of this Program
An open badge, as shown below, will be issued as a certicate electronically to those who have completed this program.
Framework
It is implemented based on the framework of this educational program.
Self-check and evaluation
Self-checks and evaluations are compiled to determine whether the educational program is being properly implemented and areas for further improvement.
Contact information
Contact us using this form
