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Curriculum

This program is established as an educational program for a five-year integrated graduate school course.

Curriculum

The program fosters the talents who are literate in big data analysis and machine learning methods, and who can accurately evaluate the performance of AI (artificial intelligence) based on the specialized knowledge and abundant experience in the fields provided by our University.
The program is designed to foster the innovators for social implementation, highly specialized engineers, and Marine Policy. In addition to obtaining expertise in the specialized field of our graduate education, this program is aimed to cultivates the following abilities and skills:

1. Ability to apply scientific knowledge and skills required for its social implementation in Data science, including big data analysis and machine learning.
2. Ability to plan and formulate the applied technologies to solve the issues, with clear understanding of those issues to which big data and AI should be applied in their respective fields of expertise.
3. Ability to scientifically evaluate the effectiveness and appropriateness of the application of big data and AI to social issues.
4. Ability to make appropriate decisions and disseminate information based on the results of big data analysis and machine learning.

In the Master's Program, we have established lectures on big data analysis and machine learning and training sessions at Marine AI Development and Evaluation Center (MAIDEC) as the technical literacy education. These lectures and sessions offer multi-disciplinary practical trainings. Upon completion of the program, students are examined through the Qualifying Examination* (Doctoral Dissertation Research Basic Skills Examination), to develop human resources for the purpose of social implementation of specialized graduate school education.

*Qualifying Examination: The Quality Assurance Unit (QAU) is led by the Dean of the relevant graduate school and determines whether a student should proceed to the next step (i.e., a doctoral program). The examination is conducted based on a portfolio, which consists of (1) the ability to identify and solve problems represented in the internship report, (2) expertise recognized during a defense and review of the master's thesis along with the ability to conduct research according to a research plan created during the master's program, and (3) communication skills demonstrated during the question and answer sessions in the joint research presentation.

In the Doctoral Program, we have established "Advanced Reliability Assessments Course" to study AI performance evaluation methods, which must be highly reliable, and "Social Implementation Impact Assessments Course" to study the impact of AI on the society.
Through establishing the specialized courses on Artificial Intelligence introduction and offering 'Marine AI Residency Program' and Fieldworks which allow students to participate in actual works (projects) in business field at our partner institutions, the students will gain experiences on AI social implementation and develop necessary skills as a leader.

To allow students participating in this program to concentrate on their studies, QAU provides financial support for education/research in the form of a grant-type scholarship worth 130,000 yen per month, to five students in the WISE Program who achieved excellent results in the Master's Program Student Contest.

Curriculum / Requirements for completion

Master's program for Enrolled Students

Division of subjects Subjects title etc. (number of credits) Required number of credits
Required subjects Common subjects*1
Topics in AI (machine learning) Artificial Intelligence and Machine Learning .pdf(2)
Deep Learning.pdf(2)
Exercise in Machine Learning .pdf(1)※3
Topics in big data Data Science.pdf(2)
Data Engineering.pdf(2)
Exercise in Data Science .pdf(1)※3
Interdisciplinary subjects Marine AI Workshop I .pdf
Required electives Specialization subjects*2 Subjects required by the program in each Major.pdf
Required subjects Lecture, experiment, or practicum in your specialization field
Special seminar of specialization
Research of specialization or Research on specific topic in your specialization field
Total 31


*1 Each common subject is offered as a common subject for all graduate programs.
*2 Each Specialization subjct will be determined by your Major.
*3 International students can substitute 1 credit of "Exercise in Machine Learning" and 1 credit of "Exercise in Data Science" for 2 credits of "Marine AI Practice in English .pdf" .

Doctoral program for Enrolled Students

Division of subjects Subjects title etc. (number of credits) Required number of credits
Required subjects Common subjects*1
Topics in AI (machine learning) Advanced Artificial Intelligence and Machine Learning.pdf(2)
Topics in big data Social Implementation of Data Science.pdf(2)
Interdisciplinary subjects Marine AI Workshop Ⅱ.pdf
Required electives Specialization subjects*2 Lectures, Exercises, experiments, practices required in your specialization field
Courses*3
Course on Advanced Reliability
Assessments
Advanced Evaluation of Ship Navigation Safety.pdf(2)
Course on Social Implementation
Impact Assessments
Interlaboratory Seminar in Social Implementation.pdf(2)
Required subjects Marine AI Residency Program
Seminars for Doctoral Academics
Advanced Research of Specialization
Total 17


*1 Each common subject is offered as a common subject for all graduate programs.
*2 Each Specialization subjct will be determined by your academic advisor.
*3 Select either course from the two courses below when entering the doctoral program.

Requirements for completion

Program students must complete the courses specified by the above program in addition to their own graduate program requirements. Furthermore, after obtaining a certain number of credits, students must pass a Qualifying Examination (QE)*1 and Program Completion Review *2 by the Quality Assurance Unit (QAU).

*1 QE is held in the second term of the second year during the master's program.
*2 Program Completion Review by QAU is held in the third year during the doctoral program.

Degree

Our program students can receive the Doctoral degree in either "Ph. D. (Marine Science)" or "Ph. D. (Engineering)". When you complete this program, your Degree will show additionally that you have completed "Graduate Program in Marine AI and Data Science".