When it comes to making decisions based on data, data science is a comprehensive field of study that uses scientific methods, tools, processes, and algorithms to extract useful insights. Statistics, machine learning, analytics, programming, and data mining are all important parts of data science. Because businesses and organizations increasingly rely on data to predict trends and make decisions, a degree in data science can be a valuable academic path.
To compile our list of the best universities for Data Science in South Korea, we used an editorial scoring framework that prioritizes academic and research strength in data science and AI, program relevance and rigor, interdisciplinary opportunities and facilities, and international student friendliness. We cross-checked official program information, institutional reputation in STEM, and student perspectives to evaluate real-world learning environments.
| University | City / Campus | Degrees | Best for |
|---|
Seoul National University (SNU)
Graduate School of Data Science (GSDS)
| Seoul (Gwanak) | Professional Master’s, MS/Ph.D. Integrated, Ph.D. |
Students who want flagship-level research, strong theory, real-world applications, and deep computational skills.
|
KAIST
Kim Jaechul Graduate School of AI (KAIST AI)
| Seoul Campus, Yangjae, and Seongnam Research Center | MS, MS/Ph.D. Integrated, Ph.D. |
Students targeting top-tier AI, machine learning, data mining, computer vision, and NLP research.
|
POSTECH
Graduate School of Artificial Intelligence
| Pohang | Master’s, MS/Ph.D. Integrated, Ph.D. |
Students who want a tight, research-focused cohort and strong AI/data science training built on computer science and engineering foundations.
|
Korea University
Department of Data Science (College of Informatics)
| Seoul | Bachelor’s in Data Science; related graduate options |
Students who want industry-relevant data skills in Seoul with strong computing fundamentals.
|
Konkuk University
Data Science / Artificial Intelligence
| Seoul | Master’s in Data Science; related AI/CS options and coursework |
Students who want data science, AI, and computer science training with opportunities in data mining, computer vision, NLP, and lab-based research.
|
Top Schools Offering Data Science Programs in South Korea
1. Seoul National University
Why it stands out: SNU’s Graduate School of Data Science offers graduate-level pathways in data science and supports interdisciplinary research across data science, AI, machine learning, analytics, and computing.
Seoul National University is one of Korea’s leading national research universities. The university opened in 1946, and its official admissions page describes SNU as a long-standing leader in Korean higher education with a global reputation. For data science students, SNU’s Graduate School of Data Science is especially relevant because it focuses on researching and developing innovative technology, educating the next generation of data scientists, and cultivating multidisciplinary collaboration. Its faculty research areas include machine learning, deep learning, business analytics, data visualization, causal inference, database techniques for ML/AI/data science, data platforms, and other data-driven fields.
“My research focuses on applying data-driven and digital technologies to support engineering decision-making.”
Nirmana (Ph.D., Energy Resources Engineering), Seoul National University Scholar from Indonesia
This kind of data-driven, interdisciplinary research culture makes SNU a strong fit for students who want to build advanced computational skills with real-world engineering impact.
2. Korea Advanced Institute of Science and Technology
Why it stands out: KAIST’s Kim Jaechul Graduate School of AI offers MS, MS/Ph.D. Integrated, and Ph.D. degrees in Artificial Intelligence, with research areas that strongly overlap with data science.
KAIST (Korea Advanced Institute of Science and Technology) is a premier institution for AI and data-science-related graduate study in Korea. The Kim Jaechul Graduate School of AI was established in Fall 2019 and offers MS, MS/Ph.D. Integrated, and Ph.D. degrees in Artificial Intelligence. Its official research areas include machine learning, artificial intelligence, data mining, computer vision, natural language processing, robotics, computer systems support for AI, and applied AI. Although KAIST’s main campus is in Daejeon, the KAIST AI school lists its Seoul Campus, Yangjae Industry-Academic Campus, and Seongnam Research Center on its official site.
“It produces a very large number of research papers at top-tier conferences and journals every year.”
Mhd Anas Al Saidi (Master’s, Data Science), KAIST Global Korea Scholarship recipient from Syria
For data science students, this research intensity can translate into strong lab opportunities and exposure to global AI, machine learning, and data mining research. Students also report that KAIST is English-friendly, but applicants should always confirm the language of instruction on the specific department or course page before applying.
3. Pohang University of Science and Technology
Why it stands out: POSTECH’s Graduate School of Artificial Intelligence provides graduate-level AI and data science training built on strong computer science and engineering foundations.
Pohang University of Science and Technology is a strong option for students interested in AI, data systems, and data-science-oriented research. POSTECH’s Graduate School of Artificial Intelligence states that it provides specialized education in AI and data science for master’s and doctoral students. Its curriculum includes core training in machine learning, artificial intelligence and data science, and deep learning, while its research fields include AI systems, big data systems, cloud computing, data mining, databases, machine learning, computer vision, and natural language processing.
POSTECH is a strong fit for students who want a research-intensive graduate path in data science and AI with room to build real software, research skills, and interdisciplinary expertise.
4. Korea University – Department of Data Science
Why it stands out: Established in 2021 under Korea University’s College of Informatics, the Department of Data Science combines core computing and AI foundations with intensive training in modern data analysis and big-data workflows.
Korea University in Seoul is one of Korea’s best private institutions, known for its urban campus and strong reputation. Within this environment, Korea University’s College of Informatics created the Department of Data Science in 2021 to meet IT-sector demand for data-driven technology. The department’s curriculum is designed to build a solid foundation in computer programming, data structures, algorithms, discrete mathematics, databases, and artificial intelligence, alongside intensive courses in data analysis, data visualization, and big data processing.
“I had the opportunity to work extensively with large-scale national datasets, which significantly deepened my appreciation for the transformative power of data.”
Lakhwinder Kaur (Master’s in Big Data Science), Korea University Scholar
For students aiming to build practical, industry-relevant data skills in Seoul, the department offers a focused pathway that bridges rigorous computing fundamentals with applied analytics.
5. Konkuk University
Why it stands out: Konkuk University in Seoul offers data-science-related study through its Data Science, Artificial Intelligence, and Computer Science ecosystem, giving students exposure to statistics, algorithms, machine learning, NLP, computer vision, and data-driven computing.
Konkuk University (KU) has a relevant ecosystem for students interested in data science, AI, and data-driven computing. Its official course listings include data mining, data science, natural language processing, computer vision, and large language models within computer science-related coursework. Its Artificial Intelligence department also emphasizes theory, applications, AI+X convergence, and project-based learning. Faculty research areas include intelligent systems and big data, graph machine learning, recommender systems, natural language processing, trustworthy AI, and intelligent data science.
“The academic structure is strongly lab-focused… The heavy emphasis on lab work allowed me to engage deeply with my own research interests, publish work for academic conferences, and gain hands-on experience that closely mirrors the realities of academic research.”
Henni Folåsen (Master’s in Artificial Intelligence), Konkuk University Scholar from Norway
That lab immersion is especially valuable in AI and data science, where skills are built through iterative experimentation and research workflows. Students should note that language of instruction can vary by program and course; for example, one Konkuk Data Science scholar reported that his coursework was conducted in Korean.
FAQs: Best Universities for Data Science in South Korea (International Students)
Which Korean university is best for research-heavy Data Science (Master’s/PhD)?
If you want a strongly research-driven path with advanced computing and interdisciplinary work, SNU, KAIST, and POSTECH are strong choices on this list because their official pages show graduate-level data science, AI, or AI-and-data-science-focused pathways.
Can I study Data Science in Korea in English?
Sometimes. Some research-focused environments, especially KAIST, are English-friendly, but language of instruction varies by university, program, lab, and course. Always confirm the current language of instruction on the program page before applying.
Do I need to speak Korean to study Data Science in South Korea?
Not always, especially at some graduate-level research programs, but Korean can be important for daily life, networking, internships, and programs or courses taught in Korean. Check each program’s language requirements before applying.
Are there scholarships for international students studying Data Science in Korea?
Yes. Options may include major government scholarships such as the Global Korea Scholarship (GKS), as well as university-level scholarships or tuition reductions. The article includes scholarship links for each featured university as a starting point.
South Korea is an attractive destination for international students who want to study data science abroad. Depending on the university and program, you may learn how to use statistical, computational, and AI-based tools to analyze data and solve real-world problems.
We hope this has been informative and has encouraged you to pursue a Data Science degree in South Korea. To know more about the country, visit our Study in Korea page. If you want to check out more schools offering Data Science, check out our Available Data Science Programs for International Students!
