Introduction

The rise of Big Data Analysis has revolutionized the related industries and applications in recent years. Data Science has also inspired the resurgence of artificial intelligence, which has led to the competition for the cultivation of talents in data science research and related industry of international and domestic academic fields. Today's so-called Data Scientists refer to experts who can extract useful information from various data sets and apply them in different fields. Therefore, data scientists must not only have the ability of statistical data analysis and scientific computing related programing, but more importantly, they can integrate big data analysis into various professional fields.

Basically, data science is a cross-disciplinary science that includes statistical science, information science, and knowledge in related fields. Compared with other data science-related teaching units, the training of the Institute of Data Science at National Cheng Kung University emphasizes the statistical data analysis courses required by data science as the main axis, supplemented by information engineering courses. In addition, NCKU is a comprehensive university, the faculty of each department has a strong lineup, and the complete information of each center can be used as a strong backing for the professional application knowledge field of the institute and the development of data science.

Development

By joining our institute, you will be able to enter a cross-disciplinary learning environment and a cross-technology learning platform. The Institute features the following diverse and flexible learning attributes:

1. Consisting of faculty members, with a wide range of specializations and expertise in the fields of statistical sciences, able to provide professional training in various data analysis techniques.
2. Encouraging students to take suitable courses from other departments or institutes to get exposure to different research knowledge and fields.
3. Inspiring students to participate in miscellaneous research projects, especially aligned with the needs of Southern Science Industrial Park and the local medical industries at all levels.  Participants will be well trained in the advanced data analysis theory and techniques, and then apply them through industry-university collaboration projects.
4. Fostering the spirit of teamwork and build an effective learning environment through forming  groups of students led by professors to participate in various data analysis competitions, where each team has an opportunity to challenge data experts around the world.