Education

Curriculum

Artificial Intelligence
Graduate Major
Curriculum

Broader, deeper — a curriculum that
provides the path to becoming
an international researcher or engineer

In the Graduate Major in Artificial Intelligence, the curriculum is built around courses that have been grouped into categories and has been structured so that students can learn systematically according to their level of learning and achievement.

    • Tokyo Tech
    • Other Universities,
      Technical Colleges, etc.
  1. Entrance
    Examination

     
    Applicants must pass an entrance examination to advance from an undergraduate major to a master's program.
  2. Master's Program
    ( 2 Years )*1

    400-Level and 500-Level Courses

    In the Graduate Major in Artificial Intelligence, courses comprise four fields:
    Basic Mathematical Sciences, Computation Theory, Modeling, and Artificial Intelligence. Students gain a balanced mastery of these fields over two years, broadening their academic perspectives in artificial intelligence and deepening their knowledge in their specialized fields. Through Research Seminars and Special Exercise courses, students also learn how to think logically and hold discussions, being provided with the skills necessary to conduct their research.

    • Basic Mathematical Sciences
      Basic mathematical sciences such as continuous mathematics necessary for system development, discrete mathematics, optimization theory, and statistical learning theory.
    • Computation Theory
      Basics for handling large-scale data such as computational logic, algorithm theory, distributed algorithms, and large-scale computation theory.
    • Modeling
      Interdisciplinary fields that are directly linked to real-world applications, such as intelligent systems, social and economic systems, bioinformatics, and complex networks.
    • Artificial Intelligence
      Subjects related to the human-computer interface and advanced knowledge-processing technology, such as machine learning, human-computer interaction, natural language processing, and multimedia information processing.

    *1Indicates the standard model where the master's program is completed in two years.

    <Department of Mathematical and Computing Science>

    <Department of Computer Science>

    1. Completion

    2. Advancement Assessment
      Applicants must pass an advancement
      assessment to advance from a master's program to a doctoral program.
    1. Other Universities' Graduates and Working Adults

    2. Entrance Examination
      Applicants must pass an entrance
      assessment to advance from another university to a doctoral program.
  3. Doctoral Program
    ( 3 Years )*2

    600-Level Courses

    English presentation courses enhance English communication skills, and internship courses improve the practical ability to apply the skills students have acquired. Also provided are the Artificial Intelligence Forum courses. This set of courses is designed to allow students in the Doctoral Program to autonomously plan technology exchange events or invite external lecturers, thereby gaining experience in planning and administering projects and becoming motivated to broaden their horizon. The curriculum is structured so that through Research Seminars and doctoral thesis research, students will acquire a high level of specialty while enhancing their ingenuity.

    • Language Proficiency: Presentation Courses
      Language, communication, and presentation skills are all improved through English presentation courses. These cultivate the skill to promote one's own research findings to the world and the ability to participate in research activities that transcend national borders.
    • Practical Skills: Work Experience Courses
      Through internships at corporations and research facilities, students are able to develop a practical point of view and the ability to propose solutions to various real-world problems.
    • Planning Skills: Leadership Courses
      The aim is to improve students' planning and leadership skills by having them organize and run their own academic workshops and other events. In addition, by discussing each other's presentations, students deepen their own research and broaden their horizons.

    *2Indicates the standard model where the Doctoral Program is completed in three years.

    <Department of Mathematical and Computing Science>

    <Department of Computer Science>

  4. Completion