School of Data Science
The School of Data Science fosters human resources who can create new social values from such enormous data. Students will learn the fundamental knowledge of mathematics, statistics and information technology which are necessary to process and understand data, communication skills which are indispensable in society, the idea of creating innovation, and business abilities that are applicable in the next generation.
OVERVIEW
- Degree awarded Bachelor of Data Science
- Duration 4 Years
- Medium of instruction Mainly in Japanese
- Courses in English Not available
- Language requirements JLPT N2 or higher
- Admissions test(s) Yes
- Admissions statistics To be announced
Recommended for those who:
- want to pursue a career in the field of artificial intelligence (AI) as an engineer
- wish to discover social issues, and their corresponding solutions by analyzing big data
- value the power of communication, and wish to help contribute to society
- aspire to become practical and innovative business-people, who practice data driven decision making
STRUCTURE
Course Structure
Based on a study of relevant topics in mathematics, statistics, and computer science, including machine learning, data mining, data visualization and data management, we provide a fundamental understanding of the methods of data science. The curriculum also provides actual experience in front-line problems in a variety of application fields depending on each student’s interest such as business sciences, medicinal sciences and so on.
Merging arts and sciences
In addition to data science specific subjects such as statistics and computer science, our curriculum offers a wide variety of subjects in applied fields such as politics, economics, finance, public affairs, life science and others offered as subjects by the university. Our students have the freedom to choose subjects that appeal to them academically, and can help build their future careers.
Emphasis on real-life situations
We conduct PBL (Project Based Learning) in classrooms and also in companies, as well as some other institutions, which can provide good opportunities to have a wealth of exercises to cultivate communication skills and problem discovery/solving abilities.
Message from the Dean
The School of Data Science, established in April 2018 in anticipation of the future, has focused on developing human resources who can contribute to society through the power of data. Three years have passed since the graduation of the first students, and the graduates are active as data analysis experts in various fields such as medicine, the environment, and the economy and are highly regarded.
Society widely recognizes that expertise in data science is essential and expected in all fields, from business to science and public policy. The Ministry of Education, Culture, Sports, Science and Technology is promoting university education reform to meet society's expectations, such as by establishing the “Mathematical, Data Science, and AI” Education Program Accreditation System to improve data science literacy levels at all universities.
We are now at the dawn of an era in which we will live in harmony with AI. In the future, society will require the fusion of human creativity and cutting-edge technologies, such as AI, to create new value based on data. People who can draw insights from diverse data to design sustainable solutions for increasingly complex issues will be at the center of future social change.
As an educational institution that leads such social change, our department is actively engaged in education and research in the constantly evolving field of data science, as well as its application to the real world. Data science is a field that crosses existing academic disciplines and opens up new possibilities. I look forward to learning and practicing with young people like you and creating the future of this field together while taking on the challenge of unknown issues.
Society widely recognizes that expertise in data science is essential and expected in all fields, from business to science and public policy. The Ministry of Education, Culture, Sports, Science and Technology is promoting university education reform to meet society's expectations, such as by establishing the “Mathematical, Data Science, and AI” Education Program Accreditation System to improve data science literacy levels at all universities.
We are now at the dawn of an era in which we will live in harmony with AI. In the future, society will require the fusion of human creativity and cutting-edge technologies, such as AI, to create new value based on data. People who can draw insights from diverse data to design sustainable solutions for increasingly complex issues will be at the center of future social change.
As an educational institution that leads such social change, our department is actively engaged in education and research in the constantly evolving field of data science, as well as its application to the real world. Data science is a field that crosses existing academic disciplines and opens up new possibilities. I look forward to learning and practicing with young people like you and creating the future of this field together while taking on the challenge of unknown issues.
Professor Tsuchiya Takahiro
Dean, School of Data Science
Dean, School of Data Science
School of Data Science Faculty List
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