AI Transformation in Universities Gains Momentum as Undergraduate and Graduate Programs Launch Together
AI TIMES ·
✦ AI Summary
According to AI TIMES, the Ministry of Science and ICT held a joint launch ceremony on September 29 for 18 AI-focused universities and 15 AX…
According to AI TIMES, the Ministry of Science and ICT held a joint launch ceremony on September 29 for 18 AI-focused universities and 15 AX graduate schools, accelerating the AI-centered transformation of university education. Through this program, the government is linking AI education from undergraduate to graduate levels and activating a new system in which universities and companies work together to cultivate field-ready converged talent. According to the article, the policy aims to move beyond education centered on knowledge and coding, and instead embed throughout universities the ability to define problems using AI and design the process for solving them. Participating universities are pushing to expand foundational education for all students and revise AI-linked courses by major, while at the graduate level they will operate education models aligned with industry demand based on joint research and project-based learning. The plan also calls for broadening participation by universities outside the Seoul metropolitan area and developing education and research hubs in the regions. At the launch ceremony, examples of change at university sites and a joint cooperation declaration among councils also underscored that the spread of AI education innovation connecting undergraduate and graduate studies, as well as regions and industry, has now entered a full test phase.
Perspective
This move is significant because it is not merely about changing a few departments within universities, but about trying to rebuild the entire education system. In particular, the approach of linking undergraduate and graduate programs, universities and companies, and the Seoul metropolitan area and the regions into one flow signals that AI talent development is being viewed not as a standalone project but as an issue of structural reform. Ultimately, the key question is whether each university can make this take root as a change in teaching methods and collaboration culture rather than a one-off initiative. If successful, it could become a turning point that shifts the standard for AI education from a focus on specific majors to one centered on practical application across all disciplines.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
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