Notice
BK21 Data Analytics Research Scholarships (~7/2)
2025.06.26 Views 25
The Digital Information Office is selecting scholarship students to conduct data analysis activities related to graduate school innovation as follows.
We encourage interested student researchers to actively participate.
- NOTICE -
1. Background
1) Need to enhance graduate school innovation and the competitiveness of our university through analysis of accumulated internal data
2) Need to create differentiated support and education/research services for each student group through analysis of student activities
2. Data Analysis Topics (Free Topics)
* Analysis of prior research to support graduate school innovation, analysis using techniques such as machine learning, deep learning, natural language processing, and statistics
* Free-topic analysis utilizing various analytical methodologies
* For this year, the use of large language models (LLMs) is strongly encouraged
* Proposals for topics necessary for graduate school innovation are welcome.
[Reference] Examples of data analysis research topics to consider
- Thesis writing support service (recommendations for thesis topics, tables of contents, references, etc.)
- Conference information recommendation algorithm
- Customized book recommendation algorithm
- LMS online learning analysis
- Analysis of the status of domestic and international credit exchanges (outbound from our university to other universities) by our graduate students
- Analysis of graduation requirements to improve the dropout rate of interdisciplinary majors compared to other departments
- Analysis of trends in graduate student employment and entrepreneurship rates and identification of case studies
- Data analysis for student career planning for career coaching
- Scholarship and research funding data analysis
- Measures to increase graduate school enrollment rates and promotional strategies, etc.
3. Eligibility: Graduate students participating in the BK21
4. Procedures and Schedule
1) Number of teams: 2-3 teams (Team composition is flexible, but a team of 2-3 members is recommended)
2) Submission of research project application:
Submit by email (taeyoonkim@korea.ac.kr) by July 2.
Please fill in the application form and submit by email
* Prior discussion on data availability is required.
* Submission of a portfolio is recommended if you have conducted analysis projects in the past.
3) Announcement of selection results: Early of July
4) Research period: July 2025 to September 2025 (approximately 3 months)
* Attend the Data Community at least twice a month to share research progress and receive feedback (approximately 1 hour per session)
* mid and final presentations are scheduled for the 6th and 12th weeks
5) Submission of research results report: By the end of the research period
* Length of data analysis results report: Approximately 20 pages (A4 size)
(Length may be adjusted depending on the nature of the topic; submission of source code is mandatory)
* Submit an additional report specifying the division of roles within the team and what research/work each member performed.
6) Scholarship amount: 6,000,000 won per a team (to be determined after consultation based on the difficulty of the analysis topic and the total number of participants)
* Scholarship payments will follow the budget allocation and execution guidelines of the BK21 project
* Scholarship amount may vary depending on the number of selected teams and participants.
5. Important Notes
1) The availability of data required for research analysis must be confirmed in advance with the Digital Information Center, and requests or cooperation requests for data that is not available will not be accepted.
2) Data that can be provided will be provided in anonymized form as a principle.
3) The progress of the research will be evaluated weekly, and in the event of a major issue, the research project may be terminated prematurely, in which case the scholarship will not be awarded.
6. Contact: taeyoonkim@korea.ac.kr / 02-3290-4186
※ The above schedule is subject to change depending on the progress of the project.
We encourage interested student researchers to actively participate.
- NOTICE -
1. Background
1) Need to enhance graduate school innovation and the competitiveness of our university through analysis of accumulated internal data
2) Need to create differentiated support and education/research services for each student group through analysis of student activities
2. Data Analysis Topics (Free Topics)
* Analysis of prior research to support graduate school innovation, analysis using techniques such as machine learning, deep learning, natural language processing, and statistics
* Free-topic analysis utilizing various analytical methodologies
* For this year, the use of large language models (LLMs) is strongly encouraged
* Proposals for topics necessary for graduate school innovation are welcome.
[Reference] Examples of data analysis research topics to consider
- Thesis writing support service (recommendations for thesis topics, tables of contents, references, etc.)
- Conference information recommendation algorithm
- Customized book recommendation algorithm
- LMS online learning analysis
- Analysis of the status of domestic and international credit exchanges (outbound from our university to other universities) by our graduate students
- Analysis of graduation requirements to improve the dropout rate of interdisciplinary majors compared to other departments
- Analysis of trends in graduate student employment and entrepreneurship rates and identification of case studies
- Data analysis for student career planning for career coaching
- Scholarship and research funding data analysis
- Measures to increase graduate school enrollment rates and promotional strategies, etc.
3. Eligibility: Graduate students participating in the BK21
4. Procedures and Schedule
1) Number of teams: 2-3 teams (Team composition is flexible, but a team of 2-3 members is recommended)
2) Submission of research project application:
Submit by email (taeyoonkim@korea.ac.kr) by July 2.
Please fill in the application form and submit by email
* Prior discussion on data availability is required.
* Submission of a portfolio is recommended if you have conducted analysis projects in the past.
3) Announcement of selection results: Early of July
4) Research period: July 2025 to September 2025 (approximately 3 months)
* Attend the Data Community at least twice a month to share research progress and receive feedback (approximately 1 hour per session)
* mid and final presentations are scheduled for the 6th and 12th weeks
5) Submission of research results report: By the end of the research period
* Length of data analysis results report: Approximately 20 pages (A4 size)
(Length may be adjusted depending on the nature of the topic; submission of source code is mandatory)
* Submit an additional report specifying the division of roles within the team and what research/work each member performed.
6) Scholarship amount: 6,000,000 won per a team (to be determined after consultation based on the difficulty of the analysis topic and the total number of participants)
* Scholarship payments will follow the budget allocation and execution guidelines of the BK21 project
* Scholarship amount may vary depending on the number of selected teams and participants.
5. Important Notes
1) The availability of data required for research analysis must be confirmed in advance with the Digital Information Center, and requests or cooperation requests for data that is not available will not be accepted.
2) Data that can be provided will be provided in anonymized form as a principle.
3) The progress of the research will be evaluated weekly, and in the event of a major issue, the research project may be terminated prematurely, in which case the scholarship will not be awarded.
6. Contact: taeyoonkim@korea.ac.kr / 02-3290-4186
※ The above schedule is subject to change depending on the progress of the project.
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