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Come learn about the goal of the Faculty of Mathematical Informatics, which will be born in 2024, to "create an AI society in which people play a leading role through the power of information and mathematics. Generative AI has dramatically increased the level of human-machine interaction and is just now having a widespread impact on society. In its realization, machine learning and computational methods that realize AI based on mathematics, information system machines such as quantum computers for high-speed processing, and large amounts of data via the Internet are key. In fact, these have been created from the fundamentals of information and mathematics and realized as information systems, which is exactly what you will learn in the systematic curriculum of the Faculty of Mathematical Informatics, where you will acquire practical skills through Project Based Learning and the ability to become an advanced human resource in AI, information and communication technology (advanced ICT), In society, let's create an AI society in which people play a leading role, in cooperation with our university's more than 160 years of knowledge about humans and society.
https://www.meijigakuin.ac.jp/en/academics/mathematical_informatics/
Education to develop mathematical comprehension skills to adapt to fast changes in the field of information science assembled with mathematical materials.
Education in information science with a basic education in mathematical science and what can be done with computers and AI in the future.
Education that gives consideration to information ethics and a strong awareness of the interface and linkage between information and mathematical sciences and society.
Education that enables students to apply the advanced ICT skills they have acquired in the international community, to obtain information from the world, and to transmit it themselves.

Through discussions with faculty and classmates, students deepen their understanding of what they learn in lectures.

Students develop the ability to solve problems using advanced data analysis and programming skills.

Instructors provide careful, individualized guidance to each student.
Mathematics of Codes and Cryptography
information geometry
Mathematical Modeling
quantum computing
Quantum networks, etc.
Mathematics of AI and Data Science
Pattern Recognition and Machine Learning
natural language processing
cognitive psychology
Computational Social Science, etc.
computer system
Information Security
Embedded Systems and IoT
operating system
Computer graphics, etc.
Courses in the third and fourth years are classified into "Mathematical and Quantum Information," "AI and Data Science," and "Information Systems and Security," allowing students to choose which field of study to focus on according to their aspirations and career path after graduation.
We provide practical education that enables students to experience the process of problem-solving Project Based Learning (PBL) in the third year, just as it is done in an actual company.