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Department of Big Data Analytics
The educational 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
4-2 Big-data independent learning & research
4-1 AI big-data ethics, mydata, big-data research methodology, AI big-data economics
3-2 big-data algorithm, recommender system, big-data marketing, big-data analytics
3-1 deep-learning basic, big-data decision analysis, metaverse business, simulation basic
2-2 - mandatory courses for major
- big-data statistics, machine-learning basic and application , data base basic and application, social network science
- liberal arts
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
1-1 - principles of management
- big-data mathematics, big-data programming 1
- big data seminar
- liberal arts
Career path 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