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Ewha Selected for the “2022 Artificial Intelligence Convergence and Innovation Talent Nurturing Project”

  • 작성처
  • Date2022.05.17
  • 11154

Ewha Selected for the “2022 Artificial Intelligence Convergence and Innovation Talent Nurturing Project”


Ewha Womans University was selected for the “2022 Artificial Intelligence Convergence and Innovation Talent Nurturing Project” overseen by the Ministry of Science and ICT. As a result, Ewha will be funded with a total of about KRW 5 billion for the next four years, gathering momentum to foster artificial intelligence (AI) convergence talents and enhance research capabilities. 

(Right) Professor Byoungju Choi


With this selection, Ewha will newly establish the “Artificial Intelligence Convergence major” within the Division of Artificial Intelligence and Software, the Graduate School, and recruit new students from the second semester of the 2022 academic year. The “Artificial Intelligence Convergence major” aims to foster talents who can converge AI, a key technology in the era of the Fourth Industrial Revolution, with various domains, and to secure AI convergence research capabilities. A total of 28 faculty members from the Artificial Intelligence, Computer Science & Engineering, Electronic Engineering, Cyber Security, Mechanical & Biomedical Engineering, Medicine, Business Administration, Food Science & Biotechnology and Statistics majors, as well as a total of 34 companies consisting of 31 domestic and three overseas companies, along with Ewha Womans University Medical Center will participate in the education and research pertaining to the project. 


The Artificial Intelligence Convergence major will nurture field-specific talents with master’s and doctoral degrees in the two specialized fields of “AI-medicine/bio” and “AI convergence-based technology” with the view of fostering field-specific AI convergence talents that meet industry needs, and carry out 10 or more projects through industry-academia cooperation with companies for the next four years. Students will be provided with a specialized curriculum addressing the basics of AI technology, an AI convergence course, and in particular, project-oriented, on-the-job AI training jointly developed with businesses. The curriculum intends to provide core AI education and multidisciplinary convergence capabilities not only for students majoring in Computer Science & Engineering but also for other students with computer skills in various fields including engineering, medicine, business administration, life sciences, statistics, mathematics and humanities. These talents will advance into the field of AI-medicine/bio, such as AI-based precision medical platforms, digital healthcare and robotics-extended reality (XR) combination medical devices, and the field of AI convergence-based technology such as AI security, multimodal AI and AI systems.


Ewha newly established the Artificial Intelligence major in the Division of AI Convergence this year and plans to additionally establish the Department of Data Science and the College of Artificial Intelligence next year, thereby presenting its vision for AI convergence talent development and convergence research. President Eun Mee Kim commented, “Women’s participation in AI R&D and applied areas is very important in a situation where there is a severe shortage of female AI developers that meet industry needs and a growing awareness of biases in data and thinking in the field,” and added, “With the Artificial Intelligence Convergence major at the forefront, Ewha will endeavor to become a focal point for expanding new AI convergence research and fostering outstanding talents in response to a wide range of academic disciplines and practical industry needs.”


Principal Investigator and Professor Byoungju Choi of the Computer Science & Engineering major remarked, “The Artificial Intelligence Convergence major holds great significance in that it presents a foundation for non-computer majors to access AI convergence programs,” and added, “I think that this project will contribute to narrowing the gap between talents needed by industries and talents produced by academia.”