Application for Registration in Fall 2024

Tokyo Tech Academy for Super Smart Society is calling for students to register in the 2024 fall semester. We welcome applications from those who are interested in this program.

Application period :

Monday, July 22, 2024 to Tuesday, August 6, 2024, at noon (12:00 p.m. Please be punctual.)

How to submit :

Please upload the application form and required documents (PDF file) to the Submmission Box. The URL of the Submission Box will be posted at a later date.

Application form :

WordPDF

Registration examination (document screening) :

Late August 2024

Prospected registration date:

October 1, 2024

Please read the Study Guide carefully.

Requirements for enrollment

In order to enroll in WISE-SSS program, it is necessary to meet the following two requirements.

[1]Participation in the SSS interdisciplinary matching workshop

Please participate in the SSS interdisciplinary matching workshop and make a research presentation at least once.

For more information about the workshop, please click here.

[2]Completed or expected to complete an appropriate Off-Campus project.

This refers to domestic/international internships, study abroad, work experience, etc. Below are specific examples of off-campus projects suitable for registration requirements. Projects not included here will be reviewed on a case-by-case basis, so please consult with us.
Internships offered by SSS Promotion Consortium (*Except for very short-term (e.g., single day) internships equivalent to “open company”. Submit a certificate of internship completion.)
Off-campus programs offered by SSS Promotion Consortium (*Visits to companies and research institutes, etc., if the total duration of participation is considered equivalent to 3 to 5 days or more).
– Internship at a company or research institute for a week or more (Submit a certificate of internship completion.)
– Work experience in a company, research institute, etc. (Submit a certificate of employment.)
– Study abroad, joint research, etc. at a research organization in a country other than your home university or institution for one week or longer (Submit a certificate of completion.)
– Ota City Start-up Off-Campus Project (SSS.S433, SSS.S635)
– Acquired one or more credits from Cyber-Physical Off-Campus Project courses from the study guide, Table 1.
 (e.g.) EEE.R561: Internship (Master Course) A, HCB.C431: Off Campus Training I

 

★Registration Requirements regarding Off-Campus Projects★
Regarding the registration requirement [2], in consideration of the impact of COVID-19, off-campus projects may be conducted after registration from Fall 2020 registration to Spring 2023 registration. From the Fall 2023 registration application, it will revert to its normal handling. If you are unable to participate in an off-campus project before registration due to various reasons, please carry out (1) and (2).

(1) Submit an “Off-Campus Project Plan”* for the registration application.
(2) Participate in an Off-Campus Project for registration requirements within one year after registration.

 * The format for (1) “Off-Campus Project Plan” :WordPDF

Note: Students who do not meet the registration requirements [2] will not be eligible for the WISE-SSS mid-term review. (This applies to registration in Fall 2023 and thereafter.)

Four Gates for Completion of the Course

1)Enrollment Examination

Students’ Eligibility

To take the enrollment examination, one of the following requirements must be satisfied:

1. A master student enrolled in the University who intends to continue the master course at the start of official study in this program.
2. A master student or a doctoral student enrolled in the University who will start/continue the program at the doctoral course (limited).

To take this curriculum, students must register and pass the enrollment examination. This exam is organized in March for Spring enrollment and in September for Fall enrollment. In addition, the student’s academic supervisor must provide written consent to apply.

Students must complete the prerequisites before enrolling in this program. They must have completed at least six months of their master or doctoral programs and are required to take some courses of this program before enrolling. If students enroll during their doctoral program, the enrollment examination and mid-term examination can be conducted around the same time.

Selection Method

The selection test (enrollment exam) is evaluated based on the student’s motivation, research plan from master to doctoral course, and an essay on the relationship with a super smart society. Details and dates of the examination will be announced when available.

To pass the exam, the following must be satisfied before starting this program:

1. Acquired one or more credits from the cyber/physical off-campus project course group as specified or offered by the program (Table 1 in the Study Guide). The off-campus project credit can be obtained by taking an internship subject. If the acquisition of credits cannot be confirmed by the time of the exam, a project completion certificate from the organization where the off-campus project (internship) was conducted can be substituted.

※Due to the influence of the COVID-19, the registration requirements have been loosened. Please refer to the “Internship Information” section above for details.

2. Participation in the Interdisciplinary Matching Workshop (Table 3-2 in the Study Guide) organized by the program.

2)Mid-term examination

To participate in the doctoral course of the program, it is necessary to pass the mid-term examination. Details and dates of the examination will be announced when available. The mid-term examination is based on the student’s master thesis, summary/achievement list, a doctoral program research plan, and an essay on the contributions to a super smart society. To pass the mid-term examination, the following requirements must be satisfied:

1. Complete the master’s program or pass the completion exam.

2. Earn at least one credit from the artificial intelligence basic subjects group assigned by the program (Table 2-1 in the Study Guide). The basic course of artificial intelligence designated by this program is a class to learn basic concepts of artificial intelligence (data analysis, machine learning, etc.) or an advanced class based on elementary artificial intelligence knowledge. Acquisition of core academic ability for artificial intelligence may be obtained by acquiring credits from lectures other than those listed in this table.

3. Earn at least one credit from the basic quantum science subjects group assigned by the program (Table 2-2 in the Study Guide). The basic course of quantum mechanics designated by this program is a class to learn basic concepts of quantum mechanics (wave function, uncertainty, etc.), or an advanced class based on elementary quantum mechanics knowledge. Core academic ability for quantum science may be obtained by earning credits from lectures other than those listed in this table.

3)Completion examination

To qualify for completion of this curriculum, students must complete their original doctoral course as well as satisfy the following qualification items:

1. Acquire at least 10 credits from the subjects offered or designated by the program shown here. In this curriculum, it is only necessary to obtain the specified number of credits from the prescribed subjects (400, 500 and 600) by the time of completion. Even if the students who study at the doctoral course earn (400 and 500) credits, they can be included in the credit requirements for completing the curriculum.

2. Participate in the various events held by the program (Table 3-2 in the Study Guide).

3. Pass the completion examination conducted by the program, which includes an oral presentation on the outline of the doctoral dissertation and activities in the WISE program. The committee will judge if the student possesses the ability to be a knowledgeable professional with fundamental academic abilities, creativity, holistic view, problem-solving skills, and leadership skills. Details and dates of completion examination will be announced when available. Please shown refer to Table 3-1 in the Study Guide.

4)Doctoral Degree Examination

Doctoral dissertations are subject to the guidelines of the original academic department in a professional perspective manner. If all the above requirements are met, students are granted a degree diploma with the completion certification of the program. The type of degree complies with the students’ original course selection.