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
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
SciencesData 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
InformaticsHuman 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
SciencesHealth Technology Informatics Seminar
Sustainability Science
Education and Information Seminar
Cognitive Psychology Seminar
Graduation
Courses
-
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.
Science

Data Sciences

Business
Informatics

Human
Sciences
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.
Study the big data program using and analyzing across the data analysis, AI service planning and machine-learning
Business Informatics ConvergenceEducate 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
Understand and analyze the issues in cognitive psychology, health care medicine, environment and governance and edu-tech