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Academic Program

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Track 1 : Cancer Causes and Prevention

Core Competency
  • Understanding causal process of cancer development at the population level
  • Exploring integrated methodology in:
    - Understanding interaction between internal and external factors
    - dentification of uncertain etiology
    - Comprehensive measure of multifactorial and multistage effect
  • Taking knowledge into Action
    - Development of preventive strategies with known evidence
    - Building basic knowledge for innovation of diagnostic tools and treatment methods
Fundamental Courses
  • Master’s Courses
    - Principles of Epidemiology 
    - Cancer Risk Appraisal and Prevention 
    - Introduction to Cancer Biology
  • Doctoral Courses
    - Molecular and Cellular Approaches to Human Cancer 
    - Bio-repository in Context and for Clinical Application 
    - Nutritional Epidemiology 
    - Risk Interaction in Cancer Causing 
    - Development of Evidence Based Prevention Strategy 
    - Social and Behavioral Sciences
Faculty
Faculty
Min Kyung Lim
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In-Hoo Kim
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Jae Kyung Myung
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Jeongseon Kim
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Track 2 : Cancer Biomarker Science

Core Competency
  • This program provides graduate students with developing biomarker, and clinical platform for cancer diagnosis and prevention
    - developing new biomarker using big data
    - understanding of fundamental basis of cancer biomarker and molecular, biological carcinogenesis
    - On-site training with clinical research
Fundamental Courses
  • Master’s Courses
    - Molecular and Cellular Approaches to Human Cancer 
    - Methodology in Cancer Research 
    - Integrative Cancer-Omics
  • Doctoral Courses
    - Recent Advances in Cancer Research 
    - Cancer Bioinformatics and Precision Medicine 
    - Hallmarks of Cancer 
    - Radiation Biology for Cancer Treatment 
    - Clinical Advances in Cancer Biomarker
Faculty
Faculty
Jong Bae Park
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Sun Young Kong
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Anders Lindroth
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Bo Young Park
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Track 3 : Cacner Therapeutic Science

Core Competency
  • This program provides graduate students with fundamental basis of the lab bench to clinic bedside- and the clinic to bench-based research
    - Build a solid grounding in gene, immune, and cell therapy
    - Obtain the fundamental knowledge on experimental mouse genetics and mouse models
    - Have the opportunity and ability to apply the acquired basic and clinical knowledge to the clinical
       and practical approaches for cancer therapy
Fundamental Courses
  • Master’s Courses
    - Cell Communication in Translational Research 
    - Application of animal models in Cancer Research 
    - Introduction to Clinical Oncology and Cancer Research 
    - Molecular and Cellular Approaches to Human Cancer 
    - Methodology in Cancer Research 
    - Integrative Cancer-Omics 
    - Cancer Molecular Epidemiology
  • Doctoral Courses  
    - Gene and Immunotherapy 
    - Clinical and nonclinical research for cancer therapeutics 
    - Principles of Medicinal Chemistry 
    - Cancer Bioinformatics and Precision Medicine 
    - Molecular genetics in cancer research
Faculty
Faculty
Eun Jung Park
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Ho Lee
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Yang-Gun Suh
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Track 4 : Cancer Control Planning, Implementation, and Evaluation

Core Competency
  • Obtain basic knowledge on cancer control policy
  • Background of healthcare system and health service research
  • Understand health of the public, disease management, and global health issues
Fundamental Courses
  • Master’s Courses
    - Principles of Epidemiology 
    - Principles of Bio-Statistical Inference 
    - Population Science in Cancer Control 
    - Cancer Risk Appraisal and Prevention 
    - Cancer Early Detection and Diagnosis 
    - Quality of Life in Cancer Survivorship
  • Doctoral Courses
    - Cancer Control Policy Analysis 
    - Global Health Issues 
    - Epidemiologic Methods in Cancer Science 
    - Health Economics in Cancer 
    - Health Policy and Health Care System
Faculty
Faculty
Kui Son Choi
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Moran Ki
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Jin-Kyoung Oh
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Young Woo Kim
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Track 5 : Health Data Science

Core Competency
  • Understand Research Methodologies in Biostatistics and Epidemiology
  • Exposure to the application areas in:
    - Clinical Trials
    - Population Science
    - Informatics
Fundamental Courses
  • Master’s Courses
    - Principles of Bio-Statistical Inference 
    - Regression Methods in Biostatistics 
    - Introduction to Statistical Computing 
    - Principles of Epidemiology 
    - Principles of Systematic Review and Meta-analysis
  • Doctoral Courses
    - Statistical Methods and Theory 
    - Advanced Statistical Modeling 
    - Survival Data Analysis 
    - Marginal Structural Models and Causal Inference in Epidemiology 
    - Health Data Analysis 
    - Principles of Clinical Trials
Faculty
Faculty
Byung-Ho Nam
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Hyunsoon Cho
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Seung-Kwon Myung
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Ho Shin Gwak
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