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Curriculum

 

Master's Program

Cultivating highly skilled expert professionals with flexible mindset

The Master’s Program of the Graduate School of Culture and Information Science aims to cultivate highly skilled professionals who accomplish scientific inquiry into phenomena concerning culture and humans and are capable of problem-finding and problem-solving from an interdisciplinary viewpoint. We welcome those students who have the following qualities:
[ Qualities required of prospective students of the Master’s Program of the Graduate School of Culture and Information Science ]

  • Strong interest in and motivation for solving various cultural phenomena surrounding humans
  • Willingness to find new knowledge based on a broad perspective beyond existing academic disciplines
  • Expertise in the relevant cultural field and basic research skills required for scientific inquiry

Flowchart from admission to degree attainment

Learn the basics as a researcher

Following the curriculum consisting of lecture courses, tutorial courses, symposium courses and thesis, students acquire basic knowledge required for research and flexible thinking ability.

1st semester 2nd semester 3rd semester 4th semester
Lecture courses

Specialized courses
12 or more credits from the course you belong to

Common courses

Lecture courses provide advanced knowledge in data science, which forms the basis for interdisciplinary research ability, and deep expertise in the respective majors.
Tutorial courses In tutorials, students conduct an interdisciplinary research based on the knowledge obtained in lectures and learn how to apply it to problem-finding and problem-solving.
Research and Experiments in Culture and Information Science I, II, III, IV Compulsory 4 credits
Symposium courses Students in different grades work together in presentations and discussions in the symposium and learn the basic techniques of academic presentations.
Symposium 1, 2, 3, 4 Compulsory 4 credits
Thesis Students report new findings from the research they have conducted in the tutorials.

Doctoral Program

Nurturing independent researchers with broad knowledge

The Doctoral Program of the Graduate School of Culture and Information Science aims to foster researchers who tackle a previously unexplored research theme or method concerning culture and humans and can create a new academic field. We welcome students who have the following qualities:
[ Qualities required of prospective students of the Doctoral Program of the Graduate School of Culture and Information Science ]

  • Strong interest in and motivation for solving various cultural phenomena surrounding humans
  • Desire to create new knowledge based on a broad perspective beyond existing academic disciplines
  • Deep expertise in the relevant cultural field and advanced research skills required for scientific inquiry

Flowchart from admission to degree attainment

Develop unique ideas to create a new academic field

The curriculum consists of lecture courses, tutorial courses, symposium courses and thesis, and students work towards creation of a new academic field with their own unique ideas.

1st semester 2nd semester 3rd semester 4th semester 5th semester 6th semester
Lecture courses
10 or more credits

Specialized courses

Common courses

Lecture courses provide latest knowledge in data science, which forms the basis for creating a new academic discipline, as well as deep expertise in the relevant cultural field and related fields.
Tutorial courses Based on the knowledge obtained in lectures, students plan and conduct a research using a previously unexplored theme or method.
Special Studies in Culture and Information Science I, II, III, IV, V, VI Required 6 credits
Symposium courses Through presentations in the symposium, students not only improve their presentation skills but grasp how and where their research is oriented toward its future direction.
Advanced Symposium 1, 2, 3, 4 Required 4 credits
Thesis Students report new findings from the research they have conducted in the tutorials.
Master's Program Doctoral Program
Lesson
courses
Specialized
courses
Cultural
Resources
Studies
Course
・Advanced Lectures in Quantitative Analysis of Cultures I ・Advanced Lectures in Quantitative Analysis of Cultures II ・Advanced Lectures in Mathematical Philology 1 ・Advanced Lectures in Mathematical Philology 2 ・Advanced Lectures in the Art World 1 ・Advanced Lectures in Style of Cylture II ・Advanced Lectures in Historical Cultural Information Studies 1 ・Advanced Lectures in Historical Cultural Information Studies 2
・Advanced Lectures in Analytical Chemistry for Cultural Properties I ・Advanced Lectures in Analytical Chemistry for Cultural Properties II ・Advanced Lectures in Japanese classical literature information 1 ・Advanced Lectures in Japanese classical literature information 2 ・Advanced Lectures in Human ecology and Spatio-temporal informatics 1 ・Advanced Lectures in Human ecology and Spatio-temporal informatics 2
・Extensive Lectures in Cultural Phylogenetics 1 ・Extensive Lectures in Cultural Phylogenetics 2 ・Extensive Lectures in Special Research in Culture and Information ・Extensive Lectures in Style of Culture
・Extensive Lectures in Historical Cultural Information Studies 1 ・Extensive Lectures in Historical Cultural Information Studies 2 ・Extensive Lectures in Analytical Chemistry for Cultural Properties 1 ・Extensive Lectures in Analytical Chemistry for Cultural Properties 2
Linguistic
Data Science
Course
・Advanced Lectures in Culture Computing I ・Advanced Lectures in Culture Computing II ・Advanced Lectures in Linguistic Information Studies I ・Advanced Lectures in Linguistic Information Studies II ・Advanced Lectures in Corpus Linguistics ・Advanced Lectures in Linguistics and Communication
・Advanced Lectures in Linguistic Description ・Advanced Lectures in Statistical Usage Study ・Advanced Lectures in Linguistic Computational System ・Advanced Lectures in Linguistic Interfaces ・Advanced Lectures in Functional Linguistics ・Advanced Lectures in Computational Linguistics
・Extensive Lectures in Statistical and Computational Linguistics 1 ・Extensive Lectures in Statistical and Computational Linguistics 2 ・Extensive Lectures in Linguistic Information Studies 1
・Extensive Lectures in Linguistic Information Studies 2 ・Extensive Lectures in Linguistic Description ・Extensive Lectures in Statistical Usage Study
Behavioral
Data Science
Course
・Advanced Lectures in Multimedia Environments 1 ・Advanced Lectures in Multimedia Environments 2 ・Advanced Lectures in Foresight and Futures Studies 1 ・Advanced Lectures in Foresight and Futures Studies 2 ・Seminar on the Method of Studying Graphical Representations 1 ・Seminar on the Method of Studying Graphical Representations 2 ・Advanced Lectures in Sociometry 1
・Advanced Lectures in Sociometry 2 ・Advanced Lectures on Research Methods in Cognitive Systems 1 ・Advanced Lectures on Research Methods in Cognitive Systems 2 ・Advanced Lectures on Research Methods in Culture of Body Expressions 1 ・Advanced Lectures on Research Methods in Culture of Body Expressions 2 ・Advanced Lectures on Cognitive Modeling
・Extensive Lectures in Multimedia Environments 1 ・Extensive Lectures in Multimedia Environments 2 ・Extensive Lectures in Comparative Cultural Studies ・Extensive Lectures in Foresight and Futures Studies ・Extensive Lectures in Sociometry 1
・Extensive Lectures in Sociometry 2 ・Advanced Seminar on the Method of Studying Graphical Representations 1 ・Advanced Seminar on the Method of Studying Graphical Representations 2 ・Extensive Lectures in Cognitive Systems 1 ・Extensive Lectures in Cognitive Systems 2
Fundamental
Data Science
Course
・Advanced Lectures in Numerical Analysis ・Advanced Lectures in Mathematical Modelling ・Advanced Lectures in Mathematical Statistics ・Advanced Lectures in Multivariate Analysis ・Advanced Lectures in Mathematical Foundation ・Advanced Lectures in Mathematical Sciences ・Advanced Lectures in Information Access Technologies ・Advanced Lectures in Database Systems
・Advanced Lectures in Biostatistics ・Advanced Lectures in Principles of Statistical Consulting ・Advanced Lectures in Time Series Analysis ・Advanced Lectures in Digital Signal Processing ・Advanced Lectures in Algorithms ・Advanced Lectures in Mathematical Optimization ・Advanced Lectures in Economic Statistics ・Advanced Lectures in Bayesian Statistics
・Extensive Lectures in Mathematical Modeling 1 ・Extensive Lectures in Mathematical Modeling 2 ・Extensive Lectures in Relational Data Analysis ・Extensive Lectures in Large Data Analysis
・Extensive Lectures in Mathematical Foundation ・Extensive Lectures in Mathematical Sciences Extensive Lectures in Information Access Technologies ・Extensive Lectures in Database Systems
Social researcher certificate course
・Advanced Seminars in Social Research I ・Advanced Seminars in Social Research II ・Special Lectures in Social Research I
・Special Lectures in Social Research II ・Special Exercises for Multivariate Data Analysis

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