컨텐츠 바로가기 메뉴 바로가기 푸터 바로가기

Academics

Academics Graduate The Graduate School of Interdisciplinary Information Studies

The Graduate School of Interdisciplinary Information Studies

"We are a learning hub that cultivates data scientists with interdisciplinary
insight and expertise."

The ability to select and use information is becoming a criterion for competitiveness in the information age and an essential virtue of leaders in our modern society. Vast amounts of information in various and complicated forms drive the trends of the Information Society and are crucial in the functions of state and business organizations. As we enter an evermore connected Network Society, a deeper understanding and command of the flows and content of information, its authenticity and reliability, are key issues that allow us to distinguish good data from bad data, ultimately enablingus to make informed, evidence-based decisions. CUK’s GSIIS encourages critical inquiry and interdisciplinary conversation. Our core subjects focus on understanding our present data and human environment and the acquisition of data analysis skills, such as statistical and big data analysis. Students can select their field of concentration, but convergence of the three fields is strongly encouraged. 

Core
courses

Core Informatics

Information and Informatics, Social Science Research Methods, Big Data Research Methods
Human and Society, Statistical Analysis, Seminar on Interdisciplinary Information Studies

Advanced
Courses

  • Integrated Data
    Sciences

    Data Analysis Planning

    AI Service Planning

    Advanced Technology Seminar : Smart Computing

    Data Analysis Practicum

    Machine Learning and Big Data Analysis

    Big Data Analysis and Application : Text Data Analysis

    Big Data Analysis Seminar

    Big Data Analysis Practicum

  • Integrated Business
    Informatics

    Human Resource Management and Organization Development

    Financial Technology Seminar

    Case Studies in Marketing : Business and ICT/Social Media

    Creative Thinking and Entrepreneurship

    Data Driven Prediction

  • Integrated Human
    Sciences

    Health Technology Informatics Seminar

    Sustainability Science

    Education and Information Seminar

    Cognitive Psychology Seminar

Graduation
Courses

Thesis or Project Seminar
Our educational goals
  • To cultivate future
    data scientists
    with a convergent
    mindset
  • To enhance
    a wholistic approach to
    information studies

Information is being produced in modern society and the demands on learning how to handle and where to use such information and information analysis are increasing as well. Accordingly to such demands, the major of convergence information science keeps the core areas to enhance the professional and analytical understanding on the data and information in wide vision for the human and society and in the viewpoint of informatics. The studies constitute to realize the educational objectives and role model of the graduate school through offering the deepened education system via curricular for data science, convergence, business informatics convergence and human science convergence.

DATA
Science
Integrated
Data Sciences
Integrated
Business
Informatics
Integrated
Human
Sciences
Core Area

A basic area to establish the viewpoint for reading our era and informatics through understanding the 4th industryrevolution in civilization history and studying
the attribute of the information and effectiveness of information processing.

In-depth AreaData Science Convergence

Study the big data program using and analyzing across the data analysis, AI service planning and machine-learning

Business Informatics Convergence

Educate for using to the management such as producing the required information, prediction and resonable decision making for
the future by keeping the capability for analysis and understanding on people and organization

Human Science Convergence

Understand and analyze the issues in cognitive psychology, health care medicine, environment and governance and edu-tech