Faculty of Informatics

1. Admissions Policy

The Faculty of Informatics aims to provide students with the knowledge and abilities of human resources in addition to those developed in the field of information engineering.
You will also acquire the knowledge and ability to connect data science to various specialized fields and new business developments.
We are striving to establish a specialized education system in data science that can respond to a wide range of changing social needs.
We are also striving to establish a professional education system in data science that can respond to a wide range of ever-changing social needs.
Then, we aim to nurture information and data science engineers and researchers who can ask "why", think "what should be done", envision "how", and put them into practice.
In order to nurture below information and data science engineers and researchers, our department aims to

  1. curiosity and inquisitiveness to ask "why".
  2. the ability to think independently about "what to do".
  3. the ability to conceive and practice "how".

We are looking for students who are interested in the above, have a high level of proficiency in mathematics, are interested in all other subjects, and are constantly pursuing cutting edge technology.

2. Systematic Curricula

The Faculty of Informatics was established in April 2024 as the 11th faculty of Chiba University. Data science and information engineering are regarded as practical studies that aim to solve problems and create industries based on various social data. Based on this understanding, the faculty aims to develop human resources who can create new value based on knowledge and contribute to the sustainable development of society. After entering the university, from the third year, students will choose one of two courses: the Data Science Course and the Information Engineering Course. The Data Science Course develops human resources (practical data scientists) who understand the essence of data science and can apply it to solving social issues. On the other hand, the Information Engineering Courses develops human resources who can apply it to the realization and advancement of data science (human resources who will be responsible for the advancement of data science and peripheral technologies). In each course, curriculum that consists subject groups corresponding to the core technology and application of data science is provided. The subject groups of application of data science are organized with collaboration with strength of Chiba University such as “medical care and nursing,” “environment and horticulture,” and “humanity and sensibility.”

Graduate School of Informatics (Doctoral Program)

1. Admissions Policy

The Graduate School of Informatics, Chiba University, seeks highly qualified applicants who are willing to create and use knowledge as advanced specialists in data science, equipped with the following three skills: Data engineering skills based on the knowledge on information science; Data science skills based on a deep understanding of statistics and applied mathematics; and Data science development skills that apply data science to new developments and business.

The Department of Informatics seeks to enroll students who meet the following criteria.

  1. Students have a deep expertise in the field of information and data science and a desire to acquire logical and cutting-edge methodologies and analytical skills
  2. Students are capable of pioneering original and international research not only in basic fields but also in new fields and applications, based on their advanced knowledge and research skills
  3. Students who have a strong interest in solving problems in the field of information and data science, and who have the desire and ability to acquire pioneering academic knowledge from a broad academic perspective, including information science, data science, imaging science, and cognitive science.
  4. Students have a desire to contribute to the development of society as researchers and faculty members who will play a central role in various research and educational organizations in the fields of information and data science.

2. Systematic Curricula

The Graduate School of Informatics fosters "data science innovation skills," which are based on in-depth knowledge and understanding of data science and information science to generate innovation, and "advanced data science skills," which are based on in-depth knowledge and understanding of social issues while using data science skills to solve social problems. Courses in information science are provided for advanced knowledge of the fundamentals and technologies of information science. In order to discover social issues based on these advanced technologies and practical examples, solve them with new data science skills, and create innovations based on actual big data, students are required to take courses in information applications, imaging, cognitive science, and data science applications corresponding to the three specialized subject groups of "medicine and nursing," "environment and horticulture," and "human and sensibility." In Special Exercise II and Special Research II, students set appropriate problems to be solved, research and develop technologies to solve the problems by using highly developed data science skills and information science technologies to create innovation, and gain experience in creating new data values.