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Kyung Hee realizes academic excellence based on diversity and creativity and embodies
the ‘global dignity’ of a university as a venue for public practice for better people and a better world.
Department of Big Data Analytics
The educational
objective of
Department of
Big Data Analytics
objective of
Department of
Big Data Analytics
Fostering leaders in the field of next-generation big data and artificial intelligence with expertise, responsibility, and personality
Type of personnel need for the Department of Big Data Analytics
- Personnel with established foundations in mathematics, statistics, computer science, programming, databases, decision theory, etc
- Personnel who embodies theories such as big data analysis, artificial intelligence techniques, network analysis, and optimization
- Personnel with a sense of applying artificial intelligence and big data to management fields such as finance, accounting, production, marketing, and human resources
- World-class personnel who wants to understand and actively participate in the global trend in the field of artificial intelligence and big data
- A warm-hearted personnel with ethical responsibility that can utilize artificial intelligence and big data technologies and services for the development of mankind and society
Big data Analytics recommended Curriculum roadmap
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4-2Big-data independent learning & research
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4-1AI big-data ethics, mydata, big-data research methodology, AI big-data economics
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3-2big-data algorithm, recommender system, big-data marketing, big-data analytics
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3-1deep-learning basic, big-data decision analysis, metaverse business, simulation basic
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2-2
- mandatory courses for major
- big-data statistics, machine-learning basic and application , data base basic and application, social network science
- liberal arts
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2-1
- mandatory courses for major
- optimization Theory basic, AI basic and application, introduction to big-data
- liberal arts
-
1-2
- principles of management
- big-data programming 2
- liberal arts
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1-1
- principles of management
- big-data mathematics, big-data programming 1
- big data seminar
- liberal arts
Career path
following
graduation
following
graduation
A successful entrepreneur encouraged with start-up-oriented academic, research, internships, and cooperative activities,
Data-driven planning managers in high-tech industries
Data analytics-based management experts in high-tech industries
Data engineers in high-tech industries
Data Scientists in Advanced Industries