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Curriculum
This program is established as an educational program for a five-year integrated graduate school course.
The program fosters talent who are literate in big data analysis and machine learning methods, and can accurately evaluate the performance of artificial intelligence based on the specialized knowledge and abundant experience in the fields provided by the University. They are innovators for social implementation, highly specialized engineers, and marine policy makers. In addition to obtaining expertise in the specialized field of graduate study, the program cultivates the following abilities and skills:
- Ability to apply knowledge and skills in data science, including big data analysis and machine learning, for social implementation of AI.
- Ability to accurately grasp and solve issues in specialized fields by planning and proposing the use of application technology as well as by applying big data and machine learning technologies.
- Ability to scientifically evaluate the effectiveness and validity of big data or machine learning applications towards social implementation of AI by proposing, validating, and analyzing research plans.
- Ability to make decisions and transmit information based on the results of big data analysis and machine learning.
- Ability to utilize the results of big data analysis and machine learning based on a scientifically accurate understanding.
For the master's program, we established lectures on big data analysis and machine learning as well as training sessions at Marine AI Development and Evaluation Center (MAIDEC) as technical literacy education. These lectures and sessions offer multi-disciplinary practical training. At the end of the master's program, we conduct a Qualifying Examination* with the goal of identifying personnel capable of socially implementing their specialized doctoral 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.
We established two new courses in our doctoral program: the Course on Advanced Reliability Assessments and the Course on Social Implementation Impact Assessments. In the former, students learn how to evaluate the performance of AI, which must be highly reliable. In the latter, students learn about the impact of AI on our society. Students gain experience in social implementation of AI and develop necessary skills as leaders by taking our newly established specialized courses on the introduction of AI, participating in field work and or in-residence course, which allows students to participate in actual businesses (projects) at partner institutes.
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
| Course type | Course title (number of credits) | Required credits | ||
|---|---|---|---|---|
| Required courses | Common courses*1 | |||
| Topics in AI (machine learning) | Artificial Intelligence and Machine Learning（２） | ５ | ||
| Deep Learning（２） | ||||
| Exercise in Machine learning（１） | ||||
| Topics in big data | Data Science（２） | ５ | ||
| Data Engineering（２） | ||||
| Exercise in Data Science（１） | ||||
| Interdisciplinary courses | Marine AI workshop I | １ | ||
| Required electives | Specialization courses*2 | Courses required by the program of each specialization | ４ | |
| Required courses | Lecture, experiment, or practicum in the field of specialization | ４ | ||
| Special seminar of specialization | ４ | |||
| Research of specialization or Research on specific topic in the field of specialization | ８ | |||
| Total | 31 | |||
*1 The course is offered as a common course for all graduate programs.
*2 The course is determined by the field of specialization.(Can be taken in any major)
Doctoral program
| Course type | Course title (number of credits) | Required credits | ||
|---|---|---|---|---|
| Required courses | Common courses*1 | |||
| Topics in AI (machine learning) | Advanced Artificial Intelligence and Machine Learning（２） | ４ | ||
| Topics in big data | Social Implementation of Data Science（２） | |||
| Interdisciplinary courses | Marine AI workshop Ⅱ | １ | ||
| Required electives | Specialization courses*2 | Lecture in major or courses required by Exercises / experiments / practices |
２ | |
| Courses*3 | ||||
| Course on Advanced Reliability Assessments | Advanced Evaluation of Ship Navigation Safety（２） | ２ | ||
| Course on Social Implementation Impact Assessments | Interlaboratory Seminar in Social Implementation（２） | |||
| Required courses | Marine AI Residency Program | ２ | ||
| Advanced seminar of specialization | ２ | |||
| Advanced Research of specialization | ４ | |||
| Total | 17 | |||
*1 The course is offered as a common course for all graduate programs.
*2 The course is determined by supervisor.
*3 Select either course when entering the second semester 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
Program students receive a doctoral degree in either "Ph. D. (Philosophy)" or "Ph. D. (Engineering)". By completing the program, the degree certificate shows the completion of "WISE Program to foster AI Professionals for Marine Industries" in addition to your degree.