Management Area
The educational goal of the Management area is to develop human resources with the ability to grasp problems occurring in the actual settings of management, and solve them. To achieve this goal, it provides major subjects that represent the field of “management”, as well as management science and engineering. It also helps students acquire the ability to apply their specialty in the actual settings of management, and make appropriate decisions at appropriate times through [Seminar on Management Science].
| Course name | Course description | Target year |
|---|---|---|
| Seminar on Management Science | Japan’s first industry-academia collaborative seminar addresses AI development for management support. Students will develop and introduce an AI approach to support the management of Welcia Pharmacy and resolve the challenges faced by this pharmacy using actual POS data. | 2 – 4 |
| Industrial and Organizational Psychology | In this course, students will extensively review various theories of work motivation using examples of application in actual industrial organizations. They will also deepen their basic understanding of factors that activate and direct human behaviors in organizations. | 2 – 4 |
| Marketing | This course will lecture on the theory and practice of marketing management and introduce useful machine learning methods in marketing. | 2 – 4 |
| Finance | In this course, lectures on a wide range of important finance-related issues, including financial statement analysis, investment decision-making methods, bond and stock valuation, mean-variance portfolio theory, capital asset valuation model, cost of capital estimation, option theory, and risk management, will be given. | 2 – 4 |
| Management | In this course, students will learn representative management theories, while understanding the most advanced theories and practice. Through such learning, they will develop insight into the unchangeable in management. | 2 – 4 |
| Production and Quality Management | This course will provide an overview of production and quality control. It will also explain statistical quality control methods, inventory theory, and reliability engineering. | 2 – 4 |