Program Overview

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Introduction to the Graduate School of Data Science

The Graduate School of Data Science at Seoul National University is a prestigious institution that offers various programs in data science. The school is committed to providing students with a comprehensive education in data science, including data analysis, machine learning, and data visualization.

Programs Offered

The Graduate School of Data Science offers the following programs:

• Master's program: The master's program is designed to provide students with a solid foundation in data science. The program requires students to complete 18 credits of coursework and a thesis.
• Master's and Ph.D. integrated program: The master's and Ph.D. integrated program is designed for students who want to pursue a Ph.D. in data science. The program requires students to complete 60 credits of coursework and a dissertation.
• Ph.D. program: The Ph.D. program is designed for students who want to pursue advanced research in data science. The program requires students to complete 25 credits of coursework and a dissertation.

Admission Requirements

To be eligible for admission to the Graduate School of Data Science, applicants must meet the following requirements:

• Master's program: Applicants must have a bachelor's degree in a relevant field and a minimum GPA of 3.0.
• Master's and Ph.D. integrated program: Applicants must have a bachelor's degree in a relevant field and a minimum GPA of 3.3.
• Ph.D. program: Applicants must have a master's degree in a relevant field and a minimum GPA of 3.5.

Application Process

The application process for the Graduate School of Data Science is as follows:

• Online application: Applicants must submit their applications online through the university's website.
• Submission of supporting documents: Applicants must submit supporting documents, including transcripts, letters of recommendation, and a personal statement.
• English language proficiency: Applicants must demonstrate English language proficiency by submitting TOEFL or IELTS scores.

Research Areas

The Graduate School of Data Science has several research areas, including:

• Data analysis and machine learning
• Data visualization and human-computer interaction
• Data mining and knowledge discovery
• Database systems and data management

Faculty

The Graduate School of Data Science has a diverse faculty with expertise in various areas of data science. The faculty includes:

• Full-time professors
• Part-time professors
• Research professors
• Adjunct professors

Facilities

The Graduate School of Data Science has state-of-the-art facilities, including:

• Computer labs
• Research labs
• Library
• Seminar rooms

Career Opportunities

Graduates of the Graduate School of Data Science have a wide range of career opportunities, including:

• Data scientist
• Data analyst
• Data engineer
• Business analyst
• Research scientist

Contact Information

For more information about the Graduate School of Data Science, please contact:

• Phone:
• Email:

Additional Information

The Graduate School of Data Science is committed to providing students with a comprehensive education in data science. The school has a strong reputation for producing graduates who are well-equipped to work in a variety of fields related to data science.

Admission Schedule

The admission schedule for the Graduate School of Data Science is as follows:

• Application period: September 22, 2025 - September 26, 2025
• Submission of supporting documents: September 22, 2025 - September 29, 2025
• English language proficiency test: September 26, 2025
• Interview and written test: October 17, 2025
• Announcement of successful applicants: November 20, 2025

Tuition Fees

The tuition fees for the Graduate School of Data Science are as follows:

• Master's program:
• Master's and Ph.D. integrated program:
• Ph.D. program:

Scholarship

The Graduate School of Data Science offers scholarships to students who demonstrate academic excellence. The scholarships include:

• Full tuition scholarship
• Half tuition scholarship
• Research assistantship

Curriculum

The curriculum for the Graduate School of Data Science includes:

• Core courses:
  • Data analysis and machine learning
  • Data visualization and human-computer interaction
  • Data mining and knowledge discovery
  • Database systems and data management
• Elective courses:
  • Advanced data analysis and machine learning
  • Advanced data visualization and human-computer interaction
  • Advanced data mining and knowledge discovery
  • Advanced database systems and data management

Research

The Graduate School of Data Science has several research areas, including:

• Data analysis and machine learning
• Data visualization and human-computer interaction
• Data mining and knowledge discovery
• Database systems and data management

Faculty Research

The faculty members of the Graduate School of Data Science are involved in various research projects, including:

• Development of new data analysis and machine learning algorithms
• Design and implementation of data visualization and human-computer interaction systems
• Development of new data mining and knowledge discovery techniques
• Design and implementation of database systems and data management systems

Student Life

The Graduate School of Data Science has a vibrant student life, with various student organizations and activities, including:

• Data science club
• Research seminars
• Workshops and conferences
• Social events

Alumni

The Graduate School of Data Science has a strong alumni network, with graduates working in various fields related to data science, including:

• Data scientist
• Data analyst
• Data engineer
• Business analyst
• Research scientist

Accreditation

The Graduate School of Data Science is accredited by the Korean Ministry of Education.

Ranking

The Graduate School of Data Science is ranked among the top graduate schools in Korea.

Conclusion

The Graduate School of Data Science at Seoul National University is a prestigious institution that offers various programs in data science. The school has a strong reputation for producing graduates who are well-equipped to work in a variety of fields related to data science. The school has a diverse faculty with expertise in various areas of data science, and a vibrant student life with various student organizations and activities.

Academic

• 모집안내
• 입학공지
• 졸업관련규정
• 이수규정
• 교과과정
• 교과인증과정
• 자료실
• 융합전공 응용 데이터사이언스

<입시> 2026학년도 전기 데이터사이언스대학원 신입생 모집 안내(★)

September 9, 2025

지원 전 유의사항

1. 정년이 2년 이상 5년 미만이신 교수님께서는 석사‧박사통합과정, 박사과정 학생을 선발하지 않습니다.
2. 정년이 2년 미만이신 교수님께서는 석사과정, 석박통합과정, 박사과정을 선발하지 않습니다.
3. 휴직 중인 교수님께서는 석사과정, 석박통합과정, 박사과정을 선발하지 않습니다.

Ⅰ. 모집 인원

• 석사과정: 18명
• 석사‧박사통합과정: 60명
• 박사과정: 25명

Ⅱ. 원서 접수(인터넷)

• 접수기간: 2025. 9. 22.(월) 10:00 ~ 9. 26.(금) 17:00까지
• 지원 방법: 본교 입학본부 홈페이지 – 일반대학원 입학 홈페이지 공지사항 ( 접속하여 안내에 따라 ⑴, ⑵를 온라인 원서 접수 사이트에 제출함

Ⅲ. 영어 성적

• 지원서 접수마감일(2025. 9. 26.)기준 2년 이내 응시하고 발표가 완료되어 입학지원서에 기재된 정기시험 성적만 유효함
• 본교 석사학위자가 본교 대학원 입학 시 또는 논문제출자격시험에서 인정받은 성적은 지원서 접수마감일(2025. 9. 26.)** 10년 이내 응시 성적까지 인정(해당 점수는 현행 지원가능 공인영어시험성적 기준을 충족해야 함)

Ⅳ. 데이터사이언스대학원 추가 제출 서류(우편 또는 방문제출)

• 제출기한 :2025. 9. 29.(월) 17:00까지
• 제출장소 : 데이터사이언스대학원 행정실(43동 402호)

Ⅴ. 선발 일정 및 선발 방식

□ 석사과정 및 석박통합과정

• 전형 일정(안)
  • 2025. 9. 22.(월) 10:00~ 9. 26.(금) 17:00: 지원서 접수
  • 2025. 9. 22.(월) 10:00~ 9. 29.(월) 17:00: 서류 제출
  • 2025. 10. 14.(화) 17:00 이후 예정: 1차/1단계 합격자(면접 및 구술고사 대상자) 발표
  • 2025. 10. 17.(금) 예정: 면접 및 구술고사
  • 2025. 10. 17.(금) 면접 및 구술고사 이후 예정: 심층구술고사 대상자 발표
  • 2025. 10. 20. (월) 09:00~ 10. 30.(목) 13:00: 연구실 탐색 기간
  • 2025. 10. 31.(금) 09:30~ 11:00 예정: 심층구술면접
  • 2025. 11. 20.(목) 예정: 최종 합격자 발표

□ 박사과정

• 전형 일정(안)
  • 2025. 9. 22.(월) 10:00~ 9. 26.(금) 17:00: 지원서 접수
  • 2025. 9. 22.(월) 10:00~ 9. 29.(월) 17:00: 서류 제출
  • 2025. 10. 14.(화) 17:00 이후 예정: 1차/1단계 합격자(면접 및 구술고사 대상자) 발표
  • 2025. 10. 17.(금) 예정: 면접 및 구술고사
  • 2025. 11. 20.(목) 예정: 최종 합격자 발표

Ⅵ. 합격자 발표

• 발표 일시(안):2025. 11. 20.(목) 18:00 이후

Ⅶ. 문의처

• 전화:
• E-mail:

附录

• 서식1-데이터사이언스대학원-자기소개-및-학업계획서2026-전기-양식.hwp
• 서식2-박사과정지도교수-신청서.hwp
• 서식3-석사-및-석박통합과정-심층구술고사-응시확인서.hwp

The final answer is: $\boxed{}$