EN

Who We Are

Mission and Vision
Our Mission and Talent Vision
Our Mission
The Department of Applied Statistics aims to cultivate global leaders with responsibility and ethical awareness in a data-driven society.
Our philosophy is to nurture experts with analytical thinking and problem-solving skills, grounded in statistical expertise, who can contribute to national and societal development.
Our Vission
  • Mastery of In-depth Statistical Theory and Advanced Analytical Techniques
    Provide profound training in statistical theory, big data, and artificial intelligence methods to foster problem-solving and critical thinking required in the rapidly changing data era.
  • Strengthening Practical Skills
    Enhance hands-on analytic ability through intensive education in programming and data processing skills, ensuring applicability in the workplace.
  • Providing an Innovative Educational and Research Environment
    Operate continuously evolving educational and research programs led by distinguished faculty and supported by cutting-edge infrastructure, enabling leadership at the forefront of academia and industry.
Our Strenghts
  • Bridging of Theory and Application
    Offer an education that integrates fundamental theory with practical experience, preparing students to develop creative and effective solutions to a wide range of data analysis challenges.
  • Integration with AI and Data Science
    Support advanced training through integrated education in AI, machine learning, and data science to meet the demands of industry and research fields.
  • Practice-Oriented Cutting-Edge Education
    Develop the ability to apply theory to real problems through hands-on training with state-of-the-art data analysis software and cloud-based computing environments.
Our Talent Vision
  • Data Literacy and Analytical Professionals
    Graduates who can interpret complex data, identify core problems, and draw meaningful conclusions through quantitative thinking and statistical reasoning.
  • Experts in AI & Data Science
    Practical professionals who integrate statistics with advanced technologies such as artificial intelligence and machine learning to solve real-world, data-driven challenges.
  • Ethically Responsible Professiona
    Professionals who prioritize transparency and fairness in data use, and who make decisions and analyses that reflect social values and the public interest.
  • Global Communicators and Collaborators
    Individuals with strong communication and teamwork skills, capable of working across disciplines and contributing to both domestic and international academic and industrial fields.