In order to realize high-quality medical care, human resources who can utilize medical big data are required. This degree program aims to develop researchers and leaders who can apply knowledge of data science to the medical field and solve academic and social issues.
Program features
Graduate Degree Program of Health Data Science is a cross-disciplinary educational program consisting of a variety of specialized fields organized beyond the boundaries of existing fields under the collaboration of six graduate schools within the university, utilizing the interdisciplinary program system of graduate schools. The program is designed for researchers and supervisors who can contribute to the elucidation of the causes of central nervous system diseases such as dementia, basic research for prevention, research on preventive medicine tailored to individual constitution, and implementation (planning, implementation, and evaluation) of new medical services by planning solutions to academic and social issues by utilizing data from medical-related fields and implementing and evaluating them. The program aims to nurture researchers and leaders who can contribute to the development of new medical services (planning, implementation, and evaluation).
*Disease, Diagnosis and Prevention Data Science Special Course
Elective
※Disease and Diagnosis and Prevention Data Science Exercise
Elective
*Special Lecture on Imaging and Pathological Data Science
Elective
※Exercise in Image and Pathological Data Science
Elective
* Cognition, brain and drug data science
Elective
※Cognition and brain and drug data science exercise
Elective
*Patient Support Data Science Special Course
Elective
*Patient support data science exercise
Elective
*Medical Innovation Data Science Special Course
Elective
*Medical innovation data science exercise
Elective
Research subject
Data Science Special Research
Compulsory
成績評価と単位認定
Credit Recognition
Grading Criteria
Grading Criteria
Score
Veredict
S.
90 percent or higher
Pass
A
80 percent
B.
70 percent
C.
60 percent
D.
Less than 60 percent
Fail
N
-
Certification
Completion requirements and course registration method
Completion requirements Acquire 19 or more credits through the above study method, receive the necessary research guidance, and pass the doctoral dissertation review and oral examination.
How to take the course Obtain 19 or more credits as follows:
As compulsory subjects, students will earn 1 credit from 1 basic subject and 12 credits from 1 research subject, for a total of 13 credits from 2 subjects.
Acquire a total of 6 credits or more from 6 specialized subjects as elective subjects. However, students must choose 3 research areas from 5 research areas and earn 6 credits in 6 subjects in total, with 2 credits for each of the corresponding lecture subjects and seminar subjects.
(Precautions when taking courses) Many classes, such as basic and specialized subjects, are held online, so a comfortable internet environment is required to take them.
