South Korea is a leading hub for Data Science education, supported by a booming tech sector and world-class research infrastructure. With 190+ higher education institutions and ~170,000 international students enrolled each year, the country provides a rich academic environment for Data Science students at every level — from Bachelor’s through to doctoral research.
Whether you are pursuing an undergraduate degree, a specialised Master’s program, or a research PhD, South Korea has options to match your goals and budget. This guide covers the top-ranked universities for Data Science in South Korea, admission requirements, tuition fees, career prospects, and everything you need to know before applying.
Quick Facts: Data Science in South Korea
| Subject | Data Science |
| Country | South Korea |
| Program Duration | 1–2 years (Master’s), 3–4 years (Bachelor’s) |
| Tuition (International) | KRW 4,000,000 – 6,000,000/year (~$3,000 – $4,500) |
| Language of Instruction | Korean & English |
| Leading University | Seoul National University |
Top Universities for Data Science in South Korea 2026
The following universities in South Korea are consistently recognised for excellence in Data Science, attracting students from around the globe:
| # | University | City | Type | World Rank |
|---|---|---|---|---|
| 1 | Seoul National University | Seoul | Public | #31 |
| 2 | KAIST | Daejeon | Public | #56 |
| 3 | Yonsei University | Seoul | Private | #76 |
| 4 | Korea University | Seoul | Private | #79 |
| 5 | POSTECH | Pohang | Private | #100 |
Why Study Data Science in South Korea?
- Global Korea Scholarship (GKS) covers full tuition, living allowance, and Korean language training
- Home to Samsung, LG, Hyundai, and SK — exceptional industry internship and employment opportunities
- Highly affordable tuition and living costs compared to Western study destinations
- Seoul National University, KAIST, and POSTECH rank in the global top 100 for science and technology
- Fast-growing tech and K-culture hub with a safe, modern, and student-friendly environment
Admission Requirements for Data Science Programs in South Korea
Entry requirements vary by institution, but most universities in South Korea expect the following for Data Science applicants:
- Statistics and mathematics background required
- Programming experience in Python, R, or SQL
- IELTS 6.5+ or TOEFL 90+
- Quantitative undergraduate degree preferred
- Capstone project, GitHub portfolio, or data competition results
Tuition Fees and Cost of Living in South Korea
| Public University Tuition | KRW 4,000,000 – 6,000,000/year (~$3,000 – $4,500) |
| Private University Tuition | KRW 7,000,000 – 15,000,000/year (~$5,200 – $11,200) |
| Average Living Costs | KRW 800,000 – 1,500,000/month (~$600 – $1,100)/month |
| Language of Study | Korean & English |
Many universities in South Korea offer scholarships and financial aid specifically for international Data Science students. Check each university’s financial aid pages and your home country’s government funding schemes before applying.
Career Prospects After Data Science in South Korea
Graduates with a Data Science degree from a South Korea university are in high demand both locally and internationally. Common career paths include:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- AI Product Manager
Frequently Asked Questions
What are the best universities for Data Science in South Korea?
The leading universities for Data Science in South Korea include Seoul National University, KAIST, and Yonsei University. These institutions offer internationally accredited programs with strong research output and industry connections.
How much does it cost to study Data Science in South Korea?
Tuition for Data Science programs in South Korea ranges from KRW 4,000,000 – 6,000,000/year (~$3,000 – $4,500) at public universities. Average living costs are approximately KRW 800,000 – 1,500,000/month (~$600 – $1,100). Scholarships are available for international students.
Can I study Data Science in South Korea in English?
Many universities in South Korea offer Data Science programs taught entirely in English, particularly at Master’s and PhD level. Proficiency is typically demonstrated via IELTS 6.5+ or TOEFL 90+.
What are the admission requirements for Data Science in South Korea?
Most Data Science programs in South Korea require: Statistics and mathematics background required, Programming experience in Python, R, or SQL, and IELTS 6.5+ or TOEFL 90+. Specific requirements vary by university and level of study.
Related Resources
- Best Universities in South Korea 2026 — complete country overview
- Best Universities for Data Science Worldwide — global subject rankings
- Study in South Korea — Complete Guide for International Students
- International Scholarships 2026 — funding your studies abroad
- Best Student Cities in the World 2026