Study at TCU

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  • Study at TCU
  • Undergraduate School
  • Design and Data Science
  • Design and Data Science

Design and Data Science

Based on the knowledge of data science, you’ll be responsible for creating new services for a shifting society.

Research Topics

  • Management strategy
  • Marketing strategy
  • User Experience Design
  • Interaction Design
  • Financial & Market Systems
  • User Research
  • Machine Learning
  • Global Education
  • Cross-Cultural Understanding
  • Debate/Presentation
  • Production
  • Affective design
  • Social System Design
  • Management
  • Data Science

Educational and Research Goals

The program provides learning opportunities to cultivate critical thinking and logical reasoning backed with expertise and experience in quantitative and qualitative data analysis as well as a good understanding of global literacy. We aim to produce individuals who possess practical expertise with ethical mind along with the ability to conceptualize, design, and construct new and innovative “products” and “services” in order to solve a wide range of real-world problems.

Global Liberal Arts

By learning foreign languages and acquiring a broad knowledge of liberal arts, students enhance their international competency and cultivate foundational skills to design and manage new “products” and “services.” The study abroad programs offered to all students and overseas internships also help students develop cross-cultural awareness and expand their global insights.

COOP Program

The COOP program, which combines classroom instruction with off-campus work experience, offers students the opportunity to acquire comprehensive professional competencies that are difficult to obtain through traditional curriculum. Students first receive systematic instruction from practitioner faculty members on report writing, presentations, and other skills necessary, and then work in a corporate setting for a certain period. These experiences enable students to develop practical skills, a sense of responsibility, and the ability to act independently.

Capstone Projects

Offered in students’ final year, the capstone project serves as the culmination of their studies at the Faculty of Design and Data Science. Students work in teams to solve a variety of issues facing businesses and organizations. After conducting background and literature research on a certain issue, students are expected to develop potential solutions, validate their feasibility and effectiveness through discussions, presentations, and reviews, and then compile a project report. The comprehensive problem-solving skills acquired through this project can be applied to specialized studies in graduate school and their future careers.

Career Path

Our program prepares students to follow a variety of paths after graduation: advancing to graduate school, securing employment in a wide range of sectors including information and communication technologies and services, design, and consulting as well as government agencies, local governments, and non-profit organizations, and starting their own businesses as entrepreneurs. Regardless of their chosen path, graduates will contribute to creating innovative experiences and societies, transcending the boundaries of tradition, with their expertise in data science and ability to design and manage “products” and “services.”

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Academic Staff


  1. (1) Artificial Intelligence and Society
  1. Big Data Analysis is divided into three sub-themes: gravitational wave data analysis (astrophysics), feature extraction using artificial intelligence and machine learning (sensor data), and applications to education. In the field of operations research, we are developing modeling and analysis methods and software to enable unskilled people and computers to make decisions based on data, instead of decisions based on the intuition and experience of skilled people. We will continue to use various data to develop our research and to work with students, companies, and local governments on research topics that are needed in the real world using a variety of data.
  1. Data Science
  2. Anomaly Detection
  3. Material Physics
  4. Surface Science
  5. Density Functional Calculations
  1. social design
  2. sustainable recovery
  3. regional innovation
  1. (1) Support for improving the productivity of service operations based on business structure
  2. (2)Development of production-sales cooperation system using production simulator
  1. Ethnographic Research
  2. Human-Centered Design, Experience Design
  3. Interaction Design, Interface Design
  4. User Research , Workplace Research
  5. Research trough Design
  1. 1. Knowledge Graph
  2. 2. Data Integration on Life Sciences using Knowledge Graph
  3. 3. Applications that utilize Data Distributed across the World Wide Web
  1. Computer Supported Cooperative Work (CSCW)
  2. Interaction with Public Display
  3. Creative Activities Support System
  4. Virtual / Mixed / Augmented Reality (VR / MR / AR)
  5. Empirical Study of How People Relate to Technologies
  1. (1) Intellectual collaborative work support technology
  2. (2) Knowledge sharing network technology
  3. (3) Information security behavior support technology
  1. (1)Development of educational programs for popularization of Industrial Engineering
  2. (2)Efficiency of order picking work considering the physical characteristics of elderly and female workers

Associate Professor

  1. Asian American literature, cultural studies, trauma studies, gender studies, war literature
  1. Conversation Analysis
  2. Pragmatics
  3. Interactional Linguistics
  1. (1) Social Simulation
  2. (2) Web Mining
  1. (1) Kansei evaluation
  2. (2) Design evaluation
  3. (3) Graphic Design


  1. Image Processing
  2. Image Analysis
  3. 3D Processing
  4. Artificial Intelligence