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Department of English Data Convergence
Cultivating future leaders who precedes in artificial intelligence by integrating English linguistics and language engineering.
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Introduction
The Department of English Data Convergence is supported by a diverse faculty specializing in English linguistics and language studies. The department aims to equip students with English-centered linguistic knowledge while developing professional competence across the fields of linguistics, language acquisition, and language application. Furthermore, the department enables multifaceted approaches to language models, which lie at the core of artificial intelligence, thereby promoting interdisciplinary thinking and the practical application of academic knowledge. In addition, the Department of English Data Convergence currently offers two micro-degree programs: Language Science–AI Integration and Linguistics–AI Integration. To complete these programs, students are required to take core and advanced AI courses as well as mandatory courses in Language Science and Language and Understanding Languages, respectively. These courses are designed to help students compare human language abilities with AI language models based on linguistic theories and develop competencies in data creation and analysis for training AI language models. Furthermore, students will learn to propose AI-based applied technologies and explore their expansion into educational contexts.
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Educational Goals
To educate well-rounded professionals who combine English-based linguistic expertise with software application knowledge and excel in both planning and practice.
To advance interdisciplinary insight and the practical application of academic knowledge through comprehensive approaches to AI language models based on English linguistics.
Career Path after Graduation
Graduates of the Department of English Data Convergence are currently pursuing successful careers across a wide range of fields both in Korea and abroad, where they actively demonstrate their professional competencies. For example, they work as English teachers and instructors, as well as translators, interpreters, language researchers, content developers, AI language data specialists, and professionals in language technology-related industries.
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