Graduate Program in Data Science, Tohoku University

Curriculum

Curriculum

Time Table Classes

Curriculum

Master’s Program

Data Science Foundation

Students must take at least 1 course (2 credits each, compulsory) of Data Science Foundation courses (Data Science I、Data Science II、Data Science III). Courses must include at least 2 credits from the courses marked with * (star).


◆ Data Science I

- Technology Innovation -

These courses are designed to develop students’ ability to invent new technologies by combining new sensing techniques and existing data and/or build systems of sensing, storage, communication, or computation.

Classes


◆ Data Science II

- Data Analytics -

These courses are designed to develop students’ ability to extract necessary information from big data and plan to organize and perform big data analysis.

Classes


◆ Data Science III

- Problem Finding and Solving -

These courses are designed to develop students’ ability to find fundamental problems and formulate processes to solve them.

Classes


Practical training

Big Data Skill Up Training (1 credit, Optional)

This course is designed to improve students’ skills to participate in Data Science Training Camp.

Data Science Training Camp I (1 credit, Compulsory)

This course is designed to provide knowledge and methods to process and analyze big data.

Data Science Training Camp II (1 credit, Compulsory)

This course is designed to provide opportunities to solve practical problems using skills obtained from Data Science Training Camp I.


Short-term Overseas Training

Short-term Overseas Training (1 credit, Optional)

In this optional training, Master’s students are supported to stay an institution abroad to participate in a short-term overseas training (8-14 days). Please contact the office of your department about financial support for traveling expenses.


Master’s thesis and the seminar

Master’s thesis and the seminar (10-16 credits, Compulsory)

Please contact the office of your department about the content of the seminar.


Doctoral program

Project training

Big Data Challenge (2 credits, Compulsory)

This course is designed to provide opportunities to use learned skills to deal with and analyze big data and lead a group to solve practical problems.


Overseas Training

Data Science Special Training (3 credits, Compulsory)

Doctoral students must stay an institution abroad for at least 6 months and conduct a collaborative research.
Check this page for detail.


Advanced Seminars

Advanced Seminar I (1 credit, Compulsory)

Advanced Seminar II (1 credit, Compulsory)

Details will be announced by the GPDS office.


Doctor’s thesis and the seminar

Doctor’s thesis and the seminar (10-16 credits, Compulsory)

Please contact the office of your department about the content of the seminar.


Note: Six credits of Data Sciences I, II, III are compulsory also for the students who participate in the GP-DS program after entering Doctor's course.


S and F flanked by class name stands for Spring and Fall respectively.