Photo by KAIST.

Photo by KAIST.

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[Asia Economy Reporter Heo Midam] KAIST announced on the 17th that it has established the 'Graduate School of Data Science' to conduct research on applying technologies such as machine learning, artificial intelligence, and big data in everyday life.


The Graduate School of Data Science plans to conduct specialized research in four fields: manufacturing, finance, healthcare, and social services (welfare). For example, technologies that analyze data to recommend YouTube content to watch the next day or identify abused children in advance to prevent more severe situations.


Based on the vision of "training demand-driven digital innovation leaders," the Graduate School of Data Science aims to cultivate "T-shaped talents" who possess broad knowledge and expertise through technical proficiency and practical application.


To this end, basic knowledge such as mathematics, statistics, and programming will be taught through a pre-admission bootcamp, and the main curriculum will cover the entire data science value chain, including collection, management, processing, analysis, modeling, and utilization.


Kim Woochang, the new dean of the Graduate School of Data Science, said, "In the era of digital transformation, we will nurture leaders who creatively apply vast amounts of information and deeply understand the environments of demand sites. In addition to developing new technologies, we will cultivate talents who consider and contribute to solving various social issues."


He added, "We will also do our best to produce research outcomes that improve the quality of life for all citizens through world-class leading education."



Meanwhile, the Graduate School of Data Science was actively established after KAIST was selected in May for the Ministry of Science and ICT's Data Science Convergence Talent Training Project. It will receive approximately 13.3 billion KRW in government funding over seven years from June this year to 2028, the first of its kind in Korea. Related information sessions will be held online on the 27th and 29th via the YouTube channel 'KAIST Department of Industrial and Systems Engineering.'


This content was produced with the assistance of AI translation services.

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