• # Rating - 4.9 Points
  • # Accomodation #
  • # Scholarship #
  • # Part Time Work #

MS in Computational Linguistics

Course Level: Master's
Course Duration: 2 Years
Course Language English
Required Degree 3 Year Bachelor’s Degree

Why Choose MS in Computational Linguistics at Korea University, South Korea

Pursuing an MS in Computational Linguistics at Korea University offers a unique opportunity to combine advanced linguistic theory with cutting-edge AI and natural language processing research. Korea University is one of South Korea’s top institutions, renowned for academic excellence, global collaborations, and strong industry connections. Students benefit from world-class faculty, state-of-the-art research facilities, and interdisciplinary learning that bridges computer science and linguistics. The program equips graduates with skills in NLP, machine translation, speech technology, and text analytics, preparing them for careers in academia, research, and global tech industries. Its location in Seoul also provides rich cultural and professional opportunities.


MS in Computational Linguistics at Korea University, South Korea, Program Details
 

Program Information

Details

Program Name

Master of Science (MS) in Computational Linguistics

Degree Awarded

Master of Science

Course Duration

2 years (4 semesters)

Language of Instruction

English (some elective courses may be in Korean)

Yearly Tuition Fees

Approx. USD 7,000 – 8,000

Total Tuition Fees

Approx. USD 14,000 – 16,000

Total Program Cost

Around USD 20,000 – 24,000 (including living expenses)

Eligibility

Bachelor’s degree in Linguistics, Computer Science, AI, or related field

Admission Requirements

Online application, transcripts, proof of English proficiency (TOEFL/IELTS), SOP, CV, recommendation letters

Application Intake

Spring (March) and Fall (September)

Scholarship

Korea University Global KU Scholarship, Korean Government Scholarship (KGSP), departmental research/assistantship grants

Career Prospects

NLP Engineer, Computational Linguist, AI Researcher, Data Scientist, Machine Translation Specialist, Academic/PhD opportunities

Curriculum Structure

Core: Linguistic Theory, Natural Language Processing, Machine Learning for NLP, Computational Models of Language
Electives: Speech Processing, Information Retrieval, Corpus Linguistics, Deep Learning for NLP
Thesis/Research Project in final year