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Department of Public Health & AI

History

Mar. 2014
Department of Cancer Control and Policy (CCP)
Mar. 2017
Department of Cancer Control and Population Health (CCP -> CCPH)
Mar. 2023
Department of AI & Digital Health (CAD, new department)
Mar. 2025
Department of Public Health & AI (integration of CCPH and CAD)

Overview

Students of the Department of Public Health & AI will develop integrated human resources specialized in cancer prevention and prognosis management. They will utilize the knowledge and skills for public health, epidemiology, public health policy, biostatistics, artificial intelligence, and data science. The program will promote exchanges between industry and academia, while strengthening education and research through the operation of two specific majors: the Major of Public Health and and the Major of AI & Biostatistics.

  • Developing a curriculum that includes Public Health and Artificial Intelligence & Biostatistics
  • Establishment of training infrastructure and systematic training curriculum to enhance practical competency
  • Efficient job connection by activating exchanges with departmental organizations within the National Cancer Center

Methods of education

  • • Mentoring system of full-time and adjunct faculty and industry-academia collaboration
  • • On-the-job training
  • • International research and internship opportunities
Public Health/AI & Biostatistics
Public Health AI & Biostatistics
  • Basic curriculum
    Public Health and Epidemiology
    Biostatistics and Artificial Intelligence
  • In-depth curriculum by major
    Epidemiologic Methodology
    Cancer Epidemiology
    Infectious Disease Epidemiology
    Chronic Disease Epidemiology
    Nutritional Epidemiology
    Omics Epidemiology
    Public Health Economics
    Public Health Policy
  • Applied training course
  • In-depth curriculum by major
    Principles of Biostatistics
    Regression Methods
    Deep Learning and Machine Learning
    Meta-analysis
    Survival Data Analysis
    Spatial Data Analysis
    Data Visualization
    Computer Programming
  • Applied training course
Public Health → fruition AI & Biostatistics → fruition
Combining Public Health and AI-Biostatistics expertise to produce global talent that
can contribute to cancer management and human health promotion

Graduate Program Credit Requirements

Graduate Program Credit Requirements
Division Core Courses Elective Courses Independent Study(IS) Thesis Research Total
Master’s Program 12 Credits 9 Credits 6 Credits 3 Credits 30 Credits
Doctoral Program - 18 Credits 9 Credits 3 Credits 30 Credits

* Independent Study(IS) can be replaced with elective course
** Students admitted before 2025 will be subject to the Credit Requirements for the year of admission

Department of Cancer Biomedical Science

History

Mar. 2014
Department of System Cancer Science
Mar. 2017
Department of Cancer Biomedical Science

Overview

Students in Department of Cancer Biomedical Science will be trained in a relative substantive area and be prepared to study causes of cancer and to establish a plan for cancer therapeutics. The program is an interdisciplinary curriculum covers initiative cancer science, cancer science for system biology and new therapeutics.

Graduate Program Credit Requirements

Graduate Program Credit Requirements
Division Core Courses Elective Courses Independent Study(IS) Thesis Research Total
Master’s Program 6 Credits 15 Credits 6 Credits 3 Credits 30 Credits
Doctoral Program - 18 Credits 9 Credits 3 Credits 30 Credits

* Independent Study(IS) can be replaced with elective course
** Students admitted before 2025 will be subject to the Credit Requirements for the year of admission