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
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