Problem-Based Learning (PBL)

Designed primarily for first-year students, this stage focuses on building foundational data analytics skills through coursework and mini-projects. By introducing real-world problems and scenarios, we spark critical thinking and hands-on exploration. This includes internal training within the department, as well as collaborative courses and workshops open to external partners.

Project-Based Learning (PBL)

We integrate industry resources directly into the classroom through hands-on projects, enabling students to tackle real industry challenges. Through this problem-solving process, students develop robust data analysis capabilities, critical thinking skills, and a broader vision for data applications. We also guide students in entering competitions, helping them amplify the impact of data in real-world contexts.

Industry-Academia Cooperation

Through collaborative research projects between professors and industry partners, students gain practical exposure to diverse fields. Deep-dive studies on specific themes or market trends—combined with peer collaboration and off-campus experiential learning—empower students to develop essential problem-solving skills for their future careers.