Data Sciences Program (DSP) Ⅱ
Human Resource Development of Data Science Incorporating with
Advanced Research and Education Programs
@The Data Sciences Program (DSP)Ⅱ starts on October 2018 as one of the gInternational Priority Graduate Programs (PGP) - Advanced Graduate Courses for International Students - h supported by the Ministry of Education, Culture, Sports, and Technology (MEXT).
Main purpose of this program is to develop highly-specialized global human resource of data science contributing to construction of social, life, and environmental foundations. The program is designed to acquire not only basic knowledge and skills of data science based on computer science, fundamental mathematics, and engineering, but also practical skills for discovery and solving the real world problems in life sciences, economics, biomedical engineering and others. Graduate School of Information Sciences (GSIS) conducts this program in collaboration with graduate schools of Life Sciences, Economics and Management, and Biomedical Engineering in Tohoku University. The courses will mainly be given in English except for some optional subjects to learn Japanese language and culture.
@DSPⅡ consists of a graduate program combining 2-year masterfs and 3-year doctorfs courses. Students should be affiliated with one of the four graduate schools: Graduate Schools of Information Sciences (GSIS), Life Sciences, Economics and Management, and Biomedical Engineering. Primary and sub mentors are assigned to every student participating DSPⅡ for supervising their learning and research, where the primary mentor is the professor/associate professor accepting the student in her/his affiliated department of the graduate school, and the sub mentor belongs to GSIS. The course curriculum is organized as follows:
- (1) Lectures
- i. Specialized subjects provided by the affiliated graduate school.
- ii. Fundamental subjects to learn information law and ethics for the treatment of big data.
- iii.Interdisciplinary subjects designated to data science: sensing, storage, computation/ analysis, data mining/discovery and solving the real world problems
- (2) Practical training and internship
- i. Training Camp to develop computational ability of big data
- ii. Internship in industries
- (3) Writing a master thesis supervised by the mentors
- (1) Advanced seminars: Data science-related meetings, symposia, and conferences assigned by DSPⅡ
- (2) Big data challenge: Project-based learning based on knowledge and skills of data science
- (3) Writing doctor thesis supervised by the mentors
Eligibility for DSPⅡ 2018
♦ Applicants must be an excellent student newly coming from abroad to study as a graduate-level foreign student.
♦ Applicants must have earned over 2.3 evaluation point average of their latest two-yearfs academic grade based on the specialized calculation (see note ).
♦ Applicants must be able to leave for and arrive in Japan by the beginning of October, 2018.
♦ Applicants for DSPⅡ need to satisfy one of the following conditions:
For 5 years Master's and Doctor's Courses Applicants
i) Those who have graduated, or will graduate, from a university, that is, completion of a total of 16 years of school education by September 30, 2018 (see note ).
ii) Those who have reached 22 years of age by September 30, 2018 and can be recognized to have an academic ability equivalent or superior to those who have graduated from a university based on individual qualification examinations.
For 3 years Doctor's Course Applicants
i) Those who have earned, or will earn, master's degree by September 30, 2018.
ii) Those who have engaged in research activities for at least 2 years at an educational or research institution after graduation from a university and can be recognized to have an academic ability equivalent or superior to those who have earned masterfs degree on the basis of their research performance.
iii) Those who have reached 24 years of age by September 30, 2018 and can be recognized to have scholastic ability equivalent or superior to those who have earned masterfs degree based on individual qualification examinations.
 The calculation procedure of the evaluate point average
|Number of your total credit
 The term ggraduated from a universityh means a total of 16 years of educational programs, which consists of 12 years of school education and a 4 years undergraduate (bachelor) program. @
Japanese government (MEXT) scholarship will be available for excellent students who intend to be actively engaged in the DSPⅡ program and contribute to its objectives. A monthly stipend is available; details of this and other information are listed below. Awardees of the scholarship will be selected from the candidates who are successful in the DSPⅡ examination process. The MEXT scholarship scheme applies only to those who live outside of Japan at the time of application and were born on or after April 2, 1983.
(a) Exemption from Application, Admission and Tuition fees
(b) Monthly stipend: 146,000 JPY for a masterfs course student and 147,000 JPY for a doctorfs course student
(c) Flight tickets between the applicant's country of nationality and Japan
# Self-supporting international students are highly encouraged to participate in DSPⅡ.
For master's and Doctor's courses: 5 years
Number of Recipient: 4 students
Term of the Scholarship: total 5 years (2 years for the master + 3 years for the doctor). If a student fails to maintain a certain evaluation point average during the master's course, the Ministry may cancel the 3-year doctor's scholarship.
For doctor's course: 3 years
Number of Recipient: 4 students
Term of the Scholarship: 3 years