Graduate Degree Program of Health Data Science
Graduate Degree Program of Health Data Science Graduate Degree Program of Health Data Science

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

The Graduate Degree Program of Health Data Science is a cross-disciplinary curriculum consisting of various specialized fields organized beyond the framework of existing fields based on the collaboration of six graduate schools within the university, utilizing the graduate school interdisciplinary course system. is.
To elucidate the causes of and prevent dementia and other central nervous system diseases by planning, implementing, and evaluating methods to solve academic and social issues using data in medical-related fields. We aim to develop researchers and instructors who can contribute to basic research on health care, research on preventive medicine tailored to individual constitutions, and the implementation (planning, implementation, and evaluation) of new medical services.

Class subject

Subject classification 授業科目名(※オンライン授業)
Basic courses ※医療情報リテラシー Compulsory
※医療統計学 Elective
Specialized courses ※疾患と診断および予防データサイエンス特論 Elective
※疾患と診断および予防データサイエンス演習 Elective
※画像と病態データサイエンス特論 Elective
※画像と病態データサイエンス演習 Elective
※認知と脳および薬データサイエンス特論 Elective
※認知と脳および薬データサイエンス演習 Elective
※患者支援データサイエンス特論 Elective
※患者支援データサイエンス演習 Elective
※医療イノベーションデータサイエンス特論 Elective
※医療イノベーションデータサイエンス演習 Elective
研究科目 データサイエンス特別研究 Compulsory

 

履修方法

次の通り19単位以上を修得する。

  • 必修科目として、基礎科目より1科目1単位、研究科目より1科目12単位、計2科目13単位を修得する。
  • 選択科目として、専門科目より計6科目6単位以上を修得する。ただし、5つの研究領域から3つの研究領域を選び、対応する講義科目と演習科目の1単位ずつ2単位を1組として、計6科目6単位を必ず修得すること。

(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.

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.

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

Syllabus

Medical Data Science Program Syllabus

Course Requirements

Course requirements