Data Science Course
Course Overview
Uncovering the truths hidden in data and creating new value
We cultivate creative IT professionals who possess practical, applicable knowledge that enables them to identify problems independently and explore concrete solutions.
To that end, students acquire foundational and practical specialized knowledge and skills rooted in data science and extending across a broad range of related areas.
In addition, through research, students address a wide range of information-related issues using creative ideas grounded in systems thinking and a global perspective, thereby contributing to the advancement of the information society.
Research Fields and Areas, Keywords for Learning
- Policy Formulation
- Marketing
- Entrepreneurship
- Systems Thinking
- Social Data Science
- Business Challenge Resolution
- Politics and Economics
- Social Simulation
Curriculum
1st year
Recent Trends in Data Science
Acquiring fundamental specialized knowledge and skills in the field of information science, particularly in data science.
By introducing the concepts and application cases of data science, this class helps students develop the foundation of a data scientist. They learn to understand data analysis conducted across various fields, along with methodologies and data handling techniques.
2nd year
Mathematical Simulation
Selecting the primary field for your desired career path and acquiringe foundational knowledge in your specialized area.
Mathematical simulation is widely used in many fields, including management and economics. In this class, students learn and practice model building and simulation methods using two representative approaches: discrete-event simulation and system dynamics.
3rd year
Practical Data Science 4
Acquiring advanced specialized knowledge for career advancement and foundational knowledge for conducting graduation research.
Using data science, students conduct analysis and make proposals based on requests from practitioners who present real-world issues. Working in groups, they engage in the entire process—from understanding the problem to selecting methods, developing and validating models, interpreting results, and presenting their findings.
4th year
Faculty and Researchers
Course Data
| Degree | Bachelor of Engineering | |
|---|---|---|
| Campus | Years 1-4: Omiya Campus | |
| Number of people | Number of faculty members | Click here |
| Admission capacity | 60 people | |
| Number of students | Click here | |
| Number of students entering graduate school | - | |
Other Data
Enrollment Trends (Persons)
| Enrollment Trends (Persons) | 2025 Annual |
|---|---|
| Enrollees | |
| Gender ratio |