Dialogue: Students╳Faculty
- What Should We Learn in the AI Era?・Seizing Opportunities in the AI Era
・How Is the World Humans See Different from the World AI Sees?
・Expanding the Possibilities of AI Through “Visualization”
AI has become part of our everyday lives. How will it reshape society, what challenges lie ahead, and what skills do we need to thrive in the age of AI?
- What Should We Learn in the AI Era?・Seizing Opportunities in the AI Era
Concept
- Information Engineering and Data Science in a Data-Driven Era
- Three Core Competencies, Two Courses
Our strengths lie in advanced education and research in Information Engineering, and in data science research that leverages diverse datasets across many fields—made possible by a comprehensive university.
Research Themes
- Machine Learning╳Computational Algebra
- Computer Vision╳AI Training
- Numerical Weather Prediction╳Data Assimilation
- Health╳Causal Inference, and more
We conduct hands-on research across a broad range of themes that integrate information engineering and data science.
Study
- Two-Course System (Information Engineering Course / Data Science Course)
- A Wide Range of Specialized SubjectsProgramming, Design, AI, Communications, Health, Environment, and more
Students develop integrated competencies in Core Data Science Skills, Data Engineering Skills, and Applied Data Science Skills.
Student Voices
- Analyst, Consultant, Game Developer, AR, VR...
The Future That Students Aspire To
Interviews with students on their goals, motivations, and future plans.
- Analyst, Consultant, Game Developer, AR, VR...
Admissions
- Open Campus and Information Sessions
- Admissions Overview and Application Procedures