Data Science Department
Faculty of Informatics■
Data Science Department
(Scheduled to open in 2026)
(Scheduled to open in 2026)
*All information listed is currently under construction and is subject to change.
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Features
Data Science Department■ Features
The keywords are "analysis" and "prediction"
01
Using Data Science
Able to carry out appropriate analysis and predictions.
Able to carry out appropriate analysis and predictions.
Based on learning mathematics, statistics and programming through detailed instruction in small classes, students will acquire the four types of data analytics (description, diagnosis, prediction and prescription).
02
Domain knowledge and soft skills
Acquire practical skills.
Acquire practical skills.
By learning specialized knowledge in business, psychology, and health as areas that utilize data, and honing human skills such as thinking methods and management abilities, students will develop the ability to apply data science to practice.
03
Data utilization in society
Plays a central role.
Plays a central role.
In a variety of occupations, fields, and areas of society, these students will be able to thrive as individuals who can analyze the current state of issues and predict the future by utilizing their specialized knowledge of data science, as well as the practical ability gained from domain knowledge and soft skills.
Expected image of students
We are looking for people who are interested in the relationship between people, society, and data science, and who have the enthusiasm to contribute to society by using data science skills in data analysis and prediction to solve problems in the future.
What are Data Science Skills?
With the advancement of information technology, huge amounts of information and data are being collected. The study of data science involves collecting and analyzing this big data to derive useful knowledge. Data is not just numbers, but also various other types, such as video, audio, and text information. To obtain knowledge that is useful for decision-making from this data, logical thinking skills and knowledge in the field of data analysis are required as well as knowledge of mathematics, statistics, and programming skills.