Data Science and Beyond
Data science has become very important in recent years as a methodology for inductively constructing models and hypotheses from data.
This trend has also spilled over into other academic disciplines, such as medicine, education, disaster prevention, agriculture, economics, and linguistics, leading to a surge in demand for data scientists in industries spanning agriculture and manufacturing, distribution and retailing, and finance and entertainment. The new Data Science Course, established in April 2023 as a center for education and research in mathematics, data science, and machine learning, also serves to foster top-class data science experts.
By actively welcoming students and researchers from adjacent disciplines, we also contribute to the creation of new interdisciplinary academic fields.
Group and Teaching Staff
Statistical Mathematics
Statistical Inference
Information-Theoretic Learning
Signal and Information Processing
Applied Machine Learning (Computational Intelligence)
Applied Machine Learning (Collective Intelligence)
Medical and Healthcare Data Science
Computational Intelligence Systems (Adjunct unit)
- Toshiyuki Tanaka/Professor Nonori Ueda/Adjunct Professor
- Tomoharu Iwata/Adjunct Teaching Staff (NTT Communication Science Laboratories)