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Admissions

Academic Program

Academic Track

  1. Core/Elective
    (Basics)

  2. Elective
    (Advanced)

  3. Independent Study(IS)

  4. IS (Advanced) Thesis

  5. Thesis

  Track 1: Cancer Causes and Prevention Track 2: Cancer Biomarker Science Track 3: Cancer Therapeutic Science Track 4: Cancer Control Planning, Implementation, and Evaluation Track 5: Health Data Science
Core
  • Disciplinary knowledge of cancer pathogenesis, risk factors, and characteristics
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Cancer Control & Popula -tion Health Master’s
  • Epidemiological characteristics of cancer and research methods
  • Epidemiological characteristics of cancer and research methods
  • Epidemiological characteristics of cancer and research methods
  • Epidemiological characteristics of cancer and basic knowledge of cancer control
  • Epidemiological characteristics of cancer and statistical analysis of health data
Doctoral
  • Cancer genetic and molecular epidemiology
  • Risk factors and cancer prevention
  • Processing and utilization of health data
  • Processing and utilization of health data
  • Cancer control planning, implementation, and evaluation
  • Processing and utilization of health data
Cancer Biomedi -cal Science Master’s
  • Understanding the molecular mechanisms of carcinogenesis
  • Understanding of the latest cancer research and carcinogenesis
  • Managing clinical knowledge for translational cancer research
  • Understanding the molecular mechanisms of carcinogenesis
  • Managing clinical knowledge for translational cancer research
Doctoral
  • Basic knowledge of cancer biomarkers
  • Genomics-based clinical trials for precision medicine
  • Capacity building for translational cancer research from genes to precision medicine
  • Basic knowledge of cancer biomarkers
  • Genomics-based clinical trials for precision medicine
Independent Study Master’s
  • Cancer risk assessment
  • Cancer prevention intervention
  • Clinical research to discover and identify cancer biomarkers
  • Practical training for the development of tumor biology
  • Practical practice on the national cancer control program
  • Practical exercises for the statistical analysis using health data
Doctoral
  • Study of comprehensive cancer prevention intervention
  • Discovering cancer biomarkers to develop precision medicine
  • Field-oriented research for cancer drug development
  • Development of strategies for cancer control and research for performance evaluation
  • Application of statistical methodology
  • Research for big data management system
Focus of Study Evidence-based interventions for cancer prevention Cancer diagnosis and biomarker discovery Cancer drug development Cancer control program and global health Handling of large scale health data