Course model and main subject features
Course model and main subject features
We would like to introduce the course of study and the features of the main subjects of the Graduate Graduate School of International Management Department of International Management Science (integrated doctoral program).
Course model
For the International Management Science major, research guidance will be provided mainly by faculty members, so please refer to the faculty profiles and check the areas of expertise of each faculty member.
Features of Major Subjects
| Subject Name | Features |
| Research Methodology | This course is aimed at people who want to become researchers in the field of business administration and covers the basics that researchers should understand, techniques, and knowledge they should have, as well as qualitative research methodology.
The final assignment will be to develop a research methodology based on your own research question. |
| Statistical Methodology I | Statistics classes at graduate schools of economics and business administration usually focus on inferential statistics based on regression analysis assuming quantitative data, but when it comes to social phenomena, qualitative data (such as a five-point rating of satisfaction in a survey) is often used as well.
Furthermore, in management research, where there is no solid theory, the perspective of descriptive statistics, which first summarizes the data into an easy-to-handle form, is also important. In this class, students will review introductory undergraduate level probability and statistics, then acquire the minimum knowledge of linear algebra necessary for statistical analysis, and aim to understand regression analysis as well as multivariate analysis methods such as discriminant analysis and principal component analysis. |
| Statistical Methodology II | In this course, we will cover the following topics over the course of two or three sessions, covering the basic theory of econometrics, which is necessary for reading papers that use empirical analysis and conducting empirical analysis on one's own.
We will also explain the basic theory and applications of microeconometrics, which analyzes the behavior of individual economic entities such as companies and households, including the analysis of qualitative dependent variables and panel data analysis. In addition to lectures on theory, the course will also explain analytical methods using actual data and metrological package software. |