About

In recent years, information technology, especially AI (Artificial Intelligence), has been rapidly developing and changing society. With the promotion of mathematical and data science education by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) and Society 5.0 proposed by the Cabinet Office, the field of information mathematics will become even more important in the future, and people trained in information mathematics will be in high demand. The Faculty of Information and Mathematical Sciences at TUAT is a department that aims to study the movement of information technology from a mathematical standpoint.

New and flexible forms of education such as ICT (Information and Communication Technology) and PBL (Project Based Learning) have been developed and are already being implemented in the field of mathematics and information science. Meiji Gakuin University will adopt this type of education and combine it with the educational methods and content it has cultivated to date to develop even more advanced classes for the new era.

The field of informatics and mathematics, which has high expectations from society, can create opportunities for industry-academia-government collaboration. Taking advantage of Meiji Gakuin University's location, there is potential for a variety of collaborations.

Meiji Gakuin University has so far accumulated significant achievements as a comprehensive university in the humanities. In order to make the most of this asset, the "Center for Interdisciplinary Informatics" will be established to organically link the School of Information and Mathematical Sciences with existing faculties and organizations. This center will serve as a stage for collaboration between the new faculty and existing faculties, as well as a window for industry-academia-government cooperation with outside the university.

Message

Dean,
Mathematical Informatics
Hiroshi Imai

Let's work together to create an AI society in which people play a leading role by learning and practicing mathematics and information.

Come learn about the goal of the School of Information and Mathematical Sciences, 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 Information and Mathematical Sciences, 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.

Features of Education

Curriculum

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.

  • First year

  • Basic Mathematics and Exercises information ethics Elementary Programming Meiji Gakuin Common Subjects
  • 2nd year

  • Fundamentals A (Mathematical Informatics) Fundamentals B (Information Systems) Meiji Gakuin Common Subjects
  • 3rd and 4th year

  • Mathematical and Quantum Information Course

    • Mathematics of Codes and Cryptography
    • information geometry
    • Mathematical Modeling
    • quantum computing
    • Quantum networks, etc.

    AI and Data Science Course

    • Mathematics of AI and Data Science
    • Pattern Recognition and Machine Learning
    • natural language processing
    • cognitive psychology
    • Computational Social Science, etc.

    Information Systems and Security Course

    • computer system
    • Information Security
    • Embedded Systems and IoT
    • operating system
    • Computer graphics, etc.

curriculum tree

Staff

A list of faculty members is available.
You can also view detailed information such as research fields/research topics/possible graduation research topics.

Hiroaki
Anada
cryptography
information security code digital signature certification privacy protection
Kasumi
Abe
human informatics
(human
interface/
interaction)
Child-Robot Interaction Internal state estimation (mental state/personality) Behavioural analysis (communication behaviour analysis) Childcare support system Intelligent robotics
Mary
Inaba
Algorithms and
architecture
high-speed network massively parallel computer clustering algorithm SAT Solva. data prefetch
Hiroshi
Imai
information science
quantum computer algorithm computational complexity combinatorial optimization computational geometry
Kazutoshi
Ohta
theoretical physics
(theory of elementary particles)
supersymmetric gauge theory (physics) superstring theory lattice gauge theory (physics) topology graph theory
Fumiko
Ogushi
statistical physics
mass phenomenon transport phenomenon complex network
Daisuke
Kadoh
particle physics
tensor network method stochastic process quantization quantum theory theory of lattice fields supersymmetry
Tatsuya
Kameda
experimental social science/
Society's decision on what it means/
social psychology
complex adaptive system social interaction decision-making wisdom of crowds social value formation and justice
Makoto
Kawashima
number theory
transcendental number cycles of algebraic manifolds differential equation Diophantus approximation Pade approximation
Kazuhiro
Sakai
physics
(particle theory)
string theory quantum field theory quantum theory of gravity integrable system
Hiroaki
Sasaki
Mechanical Learning of Statistics
Supervised and unsupervised learning Statistical data analysis feature learning robust estimation neural network
Takeshi
Nagata
Artificial intelligence (machine learning)/
image analysis
(Particularly facial image analysis.)、
image recognition、
image generation
Advanced search for optimal solutions in machine learning Highly explanatory white-box AI Facial image analysis and emotion estimation from facial images Brain image visualisation and human-AI co-creation using generative AI AI-based anomaly detection
Takayuki
Miyadera
quantum information theory/
quantum fundamentalism/
mathematical physics
quantum cryptography quantum computation quantum measurement statistical mechanics
Appointment of new faculty members computing system/
high-performance calculation/
software
parallel processing High Performance Computing Embedded systems green computing cyberphysical system

Anticipated post-graduation career path

Through their studies in the department, students will acquire the mathematical understanding and knowledge necessary for the utilization of advanced ICT, which will enable them to expand their fields of activity to the various occupations required in the near future, when humans and AI will coexist at a high level.

course
Mathematical and Quantum Information

To acquire the ability to apply and solve problems based on mathematical understanding, and to cultivate the ability to be involved in international research and development in cutting-edge fields such as quantum information. Students are expected to become researchers, engineers, consultants, etc. at universities and companies.

course
AI and Data Science

The program is designed to develop students' understanding and skills in AI and data science, which are the basis of advanced ICT, and to cultivate their ability to work in a wide range of occupations while integrating them with various academic fields.

course
Information Systems & Security

Cultivate the ability to utilize technologies related to information systems and information security while maintaining a mathematical understanding and high ethical standards in information science. We envision students to become programmers, system engineers, and security engineers.

FAQ

Frequently asked questions about the School of Information and Mathematical Sciences.

What is the difference from data science departments of other universities?

The Department of Mathematical Informatics aims to provide education focusing on the mathematics and basic sciences that form the foundation of AI and data science technologies. In particular, one of the features of the curriculum is the incorporation of advanced future technologies, such as quantum computers, from the conceptual stage. The department also focuses on the design of information systems and information security that support advanced information and communication technology (advanced ICT), as well as distinctive PBL and information ethics education that is connected to the educational philosophy of the university.

Will a graduate school be established?

As soon as approval is received for the establishment of the new faculty, we plan to begin planning for the establishment of a graduate school.

What level of math is required? We consider Math I, Math II, Math A, and up to Math B (sequences and vectors) to be essential. For mathematics required after that, we plan a curriculum that can be supplemented after enrollment.
Is there anything I should prepare for when I enroll, such as a laptop computer?

Many courses, including programming, are conducted in a "hands-on" format, in which students use their own computers to check class content on the spot. Students will need to prepare their own laptop computer at the time of enrollment, as they will be required to carry their own laptop at all times to classes. Information on required computer specifications, recommended models, and necessary application software will be provided by the time of enrollment through the department and the University Co-op.

Can I study abroad while in school?
The department does not have its own study abroad program, but students can study abroad as any other department. For more information on study abroad programs, please click here, and for other specific questions, please click here.
Can I get a teaching license? The Department of Informatics and Mathematical Sciences does not plan to offer a teaching program that will enable students to obtain a teaching license.
Where is your commuter campus? Yokohama Campus.

Tuition and Scholarships

matriculation fee 200,000
tuition fee 1,020,000
facility expenses 175,000
cost of equipment 100,000
educational enrichment and maintenance fee 143,500
Other Expenses ※1 29,090
First year Total amount ※2 1,667,590
Amount to be paid at the time of admission 942,540

(Unit: Yen)

※1 Other expenses include fees for language examinations, guarantor association fees, extracurricular activity fees, and student accident insurance. After enrollment, depending on the subjects and classes you take, you may be charged laboratory fees, textbook fees, and other fees in addition to the above amounts.
※2 The amount to be paid has changed from the original plan.

For other scholarships, please click here.

entrance examination

Please be sure to check the Admission Test Guidelines before applying.

General Entrance Examination All undergraduate schedule

Period of application (period of time to cancel the seal)

1/6(Sat.)~1/19(Fri.)

test day

2/1(Thu.)

examination hall※

Shirokane Campus / Yokohama Campus / Off-Campus Examination Sites (Sapporo, Sendai, Shizuoka, Fukuoka)
※Applicants whose registered address is in Kanagawa Prefecture will take the examination at the Yokohama Campus, applicants who have requested an off-campus examination site will take the examination at the respective off-campus site, and all other applicants will take the examination at the Shirokane Campus.

Date of Acceptance Announcement

2/16(Fri.)

Deadline for procedures (transfer deadline/postmarked by)

2/26(Mon.)

Collectors Type and
method
Examination subjects and examination time subject area allotment (allocation) of marks pass-fail decision
approx. 10 three subjects ①Japanese※1
AM10:00~11:00
Japanese Comprehensive (excluding ancient and Chinese literature), Modern Japanese B Full score except for the old text.
※1
prime point method
(Pass/fail is determined based on the total score of foreign language, Japanese language, and mathematics and the rank of the applicants.)
②mathematics
AM11:40~PM12:40
Mathematics I, Mathematics II, Mathematics A, Mathematics B (sequences and vectors) 100
③English
PM1:50~3:00
Communication English I, Communication English II,
English for Communication III, English Expression I, English Expression II
100
approximately 4 English
Qualifications
※2
①Japanese※1
AM10:00~11:00
Japanese Comprehensive (excluding ancient and Chinese literature), Modern Japanese B Full score except for the old text.
※1
prime point method
(The total score of Japanese and Mathematics will be and mathematics, and the result is used to determine the pass/fail grade).
②mathematics
AM11:40~PM12:40
Mathematics I, Mathematics II, Mathematics A, Mathematics B (sequences and vectors) 100

※1 The same examination questions are used for all departments in all undergraduate schedules. If you apply only to the Department of Mathematical Informatics, you do not need to answer the questions on ancient texts. If you are applying to both the Department of Actuarial Science and another department, you must answer all the questions, including those on ancient texts. The elective subject is Mathematics.

※2 English Qualification: English Language Proficiency Test (Application Qualification Type) Students who meet the standard score (grade) of the English Language Proficiency Test will be exempted from the English examination. Please refer to pages 132 and 133 of the University Guide for details.

General Entrance Examination Schedule A

Period of application (period of time to cancel the seal)

1/6(Sat.)~1/19(Fri.)

test day

2/6(Tue.)

examination hall

Shirokane Campus / Yokohama Campus※
※Applicants whose registered address is in Kanagawa Prefecture will take the examination at the Yokohama Campus. However, if you have applied for an examination accommodation, you will be required to take the examination at the Shirokane Campus.

Date of Acceptance Announcement

2/19(Mon.)

Deadline for procedures (transfer deadline/postmarked by)

2/26(Mon.)

Collectors Type and
method
Examination subjects and time subject area allotment (allocation) of marks pass-fail decision
approximately 34 3 subjects
English
Conversion
※2
①Japanese※1
10:00~11:00
Japanese Comprehensive (excluding ancient and Chinese literature), Modern Japanese B deviation×0.5
※1
deviation method
(The scores in each of the three subjects are converted into deviation scores,
and pass/fail is determined based on the ranking of the sum of the three deviation scores).
②mathematics
AM11:40~PM12:40
Mathematics I, Mathematics II, Mathematics A, Mathematics B (sequences and vectors) deviation×1.5
③English
PM1:50~3:00
Communication English I, Communication English II,
Communication English III, English Expression I, English Expression II
deviation

※1 The same exam questions will be used for all the departments that will be testing on February 6. However, if you are taking the Department of Informatics and Mathematical Sciences, you do not need to answer any questions in the Japanese language section on ancient Japanese texts. (If you are taking the Department of Informatics and Mathematics, you will receive a pass/fail grade based on your score excluding the question on the ancient Japanese text.。

※2 English Conversion: English Language Proficiency Test (Score Conversion Method) Scores are converted into English language scores according to the standard score (grade) of the English Language Proficiency Test. For details, please refer to pages 132 and 133 of the University Guide.

Entrance Examination for the Common Entrance Test for University Admission (1st semester)

Period of application (period of time to cancel the seal))

1/6(Sat.)~1/12(Fri.)

test day

Please take the University Entrance Test on January 13 (Sat.) and 14 (Sun.). The second examination (the university's individual academic achievement test) will not be conducted.

Date of Acceptance Announcement

2/16(Fri.)

Deadline for procedures (transfer deadline/postmarked by)

2/26(Mon.)

Scores from previous years' standardized tests for university admissions cannot be used.

Collectors Type and
method
Examination subjects and time subject area allotment (allocation) of marks pass-fail decision
approximately 20 three subjects ①English English (including listening) 200
(Reading 160/
Listening 40)
If more than one subject is attempted in science, the subject with the higher score will be used for the pass/fail decision. Both the first and second answered subjects in science will be considered for the examination.
②mathematics Mathematics I and Mathematics A and Mathematics II and Mathematics B 200
(100 each for "Mathematics I and Mathematics A" and
"Mathematics II and Mathematics B")
③science Select one subject from "Physics," "Chemistry," "Biology," or "Earth Science,"
or select two subjects from "Basic Physics," "Basic Chemistry," "Basic Biology," or "Basic Earth Science" (the two subjects selected are treated as one).
100

campus life

The commuting campus is Yokohama Campus.

Access from major stations

Take the Enoden bus bound for "Meiji Gakuin University South Gate" from the express bus lane of the East Exit Bus Terminal at JR Totsuka Station or Yokohama Municipal Subway Totsuka Station and get off at the last stop, "Meiji Gakuin University South Gate" (10-minute ride).

※The 360° campus view will be posted as of FY2020.

Contact

Admissions Information

Admission Information

mginfo@mguad.meijigakuin.ac.jp

03-5421-5151

About the interview

Public Relations Division, Office of the President

koho@mguad.meijigakuin.ac.jp

03-5421-5165

Other Inquiries