Energy Science and Informatics
Graduate Major

Broader, deeper — a curriculum that supports those aiming to be
globally successful researchers

In the Graduate Major in Energy Science and Informatics, courses are organized into groups of lectures to facilitate systematic acquisition of specialized knowledge and skills, tailored to students' levels of learning and proficiency.

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

    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

    The curriculum is structured around three key groups of lectures — Specialized Theory lectures for acquiring advanced expertise in individual disciplines, Energy Theory lectures for learning the multidimensional energy theory common to the field, and Energy Big Data Science Courses to provide further knowledge and skills by adding data science analytics into the mix. The program allows students to acquire (1) advanced expertise in their specialization selected from the Specialized Theory lectures (physics, chemistry, mechanical engineering, electrical engineering, materials science, applied chemistry, information science, or transdisciplinary science and engineering) in addition to the restricted elective courses (Energy Theory lectures) and the elective courses (Energy Big Data Science Courses), and (2) the ability to comprehensively understand and make judgments on various energy issues from the perspective of multidimensional energy theory, to independently identify and solve problems, and to demonstrate global leadership skills.

    • Energy Theory Lecture
      This group of lectures offers a transformative journey into multidimensional energy theory, where the fundamentals and advanced specialization of each discipline have been analogously restructured into a new academic field. The lectures include energy basic theory, energy device theory, energy materials theory, energy systems theory, and energy systems economic theory. Some courses are provided in the form of interdisciplinary, poster-based presentation sessions.
    • Energy Big Data Science Courses
      These lectures allow students to embark on an enriching journey into the world of energy big data science, where data science, artificial intelligence analytics, computer simulations, and more are seamlessly integrated into the cohesive multidimensional energy theory. From novices to seasoned experts, the course is designed to cater to varying levels of knowledge and proficiency, combining lectures and exercises that utilize the energy big data available on campus, including that from device, material, system, and scenario research.
    • Specialized Theory Lecture
      This group of lectures is designed for students to acquire advanced expertise in a particular specialization, and comprises: Chemistry Specialized Theory lectures, Mechanical Engineering Specialized Theory lectures, Electrical and Electronic Engineering Specialized Theory lectures, Materials Science and Engineering Specialized Theory lectures, Applied Chemistry Specialized Theory lectures, Computer Science Specialized Theory lectures, and Transdisciplinary Science and Engineering Specialized Theory lectures.
    • Research Seminars
      Research Seminars and literature reviews are conducted to support students in their master's thesis research.

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

    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

    The curriculum is designed to equip students with a comprehensive skillset rooted in the systemized knowledge acquired through the Master's Program. This includes the broad theory (multidimensional energy theory) common to the study of energy science, in addition to advanced expertise in the individual disciplines of physics, chemistry, materials science, mechanical engineering, electrical engineering, information science, and transdisciplinary science and engineering. With the addition of skills to integrate learned theories with data science analytics, the curriculum is tailored to provide students with a range of key abilities essential for success in the energy sector. These include:
    1. The ability to discern the underlying nature and universality of energy/information-related phenomena, identify new challenges, and bring them to resolution.
    2. The ability to lead the frontier of energy research based on advanced knowledge and strong ethical awareness.
    3. The ability to organically integrate diverse findings in energy science and informatics from the perspective of each specialization for further application and development.
    4. The ability to build human networks in the energy sector, and to demonstrate international leadership.
    Specifically, students will sharpen their ability to identify and solve problems, and to develop research skills with a focus on Research Seminars and doctoral dissertation research. They will also cultivate leadership skills and internationally effective cultural skills, as well as communication skills, by taking Humanities and Social Science Courses and Career Development Courses in addition to Major Courses such as International Academic Presentation.

    • Humanities and Social Science
      Liberal Arts courses for cultivating internationally useful cultural skills that form the background of energy research.
    • Career Development Courses
      Liberal Arts and Basic Science Courses that cultivate leadership and communication skills.
    • Major Courses
      Specialized lectures for gaining a more practical, application-oriented perspective based on energy theory and data science learned in the Master's Program. Students also strive for improved presentation skills that are internationally effective.
    • Research Seminars
      Research Seminars and literature reviews are conducted to support students in their doctoral dissertation research.

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

  4. Completion

Page Top