This paper is from Session 5C: Statistical Education and Training for Public Policies
which comes under Topic 5: Statistics education in the workplace, government and across disciplines
Paper 5C3 (Thursday 12th, 11:00-12:30)
Education of Data Science in Japan: Shiga University Model
Presenter
- Seiji Takata (Shiga University, Japan)
Co-authors
- Akimichi Takemura (Shiga University, Japan)
- Shizue Izumi (Shiga University, Japan, Japan)
Abstract
In 2017, Shiga University established the Faculty of Data Science, the first university faculty specialized to data science in Japan. The goal of our faculty is “extracting value from data.” We intend to teach mathematical statistics, computer skills and practical business experience in a balanced manner, so that students can solve real-world problems using various data. Various practices of data science are treated, including business applications, information technology, medical science, disaster prevention, public policy, etc. In particular, we place special importance on project-based learnings (PBL), in which students actively tackle real-world problems using real data. We extensively collaborate with various private sectors, so that students can experience real-world problems. We also collaborate with central/local governments to contribute to better decision-makings in public policies.