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A Study on the Curriculums of Data Science
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 Title & Authors
A Study on the Curriculums of Data Science
Yi, Myongho;
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 Abstract
The purpose of this study is to compare seven data science programs in Korea and ten data science programs in the US. Results show that 14 data science programs are housed in graduate schools. 10% of data science courses in Korea and 26% in the US fall under the Math and Statistics Knowledge area, one of the three areas defined by Conway. The syllabus analysis does not show much differences in terms of class contents and grading. The results of this study can be used to design data science programs that are more effective and well-grounded.
 Keywords
Data Scientist;Data Science;Library and Information Science;Big Data;
 Language
Korean
 Cited by
 References
1.
김희섭, 남권희, 강보라. 2013. 북미지역 iSchool 대학과 L-School의 교육과정 비교분석. "한국문헌정보학회지", 47(4): 295-314. (Kim, Heesop, Kwon Hee Nam, and Bora Kang. 2013. "A Comparative Analysis on Curriculum of iSchools and L-School in North America." Journal of the Korean Society for Library and Information Science, 47(4): 295-314.)

2.
이성신, 최재황, 이창수. 2013. 한국형 iSchool 탐색. "한국도서관.정보학회지", 44(4): 277-294. (Lee, Seongsin, Jae Hwang Choi, and Changsoo Lee. 2013. "An Exploratory Study On Korean iSchool." Journal of Korea Library and Information Science Society, 44(4): 277-294.)

3.
이재윤. 2015. "데이터 사이언스와 데이터 리터러시". Paper presented at the 제22회 한국정보관리학회 학술대회, 중앙대학교, 서울. (Lee, Jae Yun. 2015. Data science and data literacy. Paper presented at the 22nd Korea Society for Information Management, Seoul.)

4.
장덕현. 2015. iSchool 논의에 대한 비판적 담론분석. "한국도서관.정보학회지", 46(1): 135-154. (Jang, Durk-Hyun. 2015. "iSchool Movement: A Critical Discourse Analysis." Journal of Korea Library and Information Science Society, 46(1): 135-154.)

5.
장윤금. 2011. 문헌정보학 교육의 변화에 관한 국가 간 비교 연구. "한국비블리아학회지", 22(4): 317-340. (Chang, Yunkeum. 2011. "Comparative Study of the Changes in LIS Education in Korea, U.S.A. and Australia." Journal of Korea Biblia Society for Library and Information Science, 22(4): 317-340.)

6.
장윤금. 2014. iSchool 대학의 발전, 교육 및 연구 동향 분석. "한국문헌정보학회지", 48(1): 369-386. (Chang, Yunkeum. 2014. "An Analysis of the Growth, Education and Academic Research Trends of iSchools." Journal of Korean Society for Library and Information Science, 48(1): 369-386.)

7.
최윤식. 2012. "미래학자의 통찰법". 서울: 김영사. (Choi, Yoon Sik. 2014. Insight into Futures. Seoul: Gimmyoung.)

8.
Ahn, I. J. 2012. "The Specification of Science Education Programs in the Local Public Library: Focusing on the Programs In G-city." International Journal of Knowledge Content Development & Technology, 2(1): 17-35.

9.
Brynko, B. 2012. "iSchools: shaping the information landscape." Information Today, 29(8): 1.

10.
Bussaban, K. and P. Waraporn. 2015. "Preparing Undergraduate Students Majoring in Computer Science and Mathematics with Data Science Perspectives and Awareness in the Age of Big Data." Procedia - Social and Behavioral Sciences, 197: 1443-1446. crossref(new window)

11.
Chu, H. 2012. "iSchools and Non-iSchools in the USA: An Examination of Their Master's Programs." Education for information, 29(1): 1-17.

12.
Cleveland, W. S. 2001. "Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics." International Statistical Review, 69(1).

13.
Conway, D. 2010. The Data Science Venn Diagram [online]. [cited 2016.1.12]. .

14.
Davenport, T. H. and D. J. Patil. 2012. "Data Scientist: The Sexiest Job of the 21st Century." Harvard Business Review, 90(10): 70-76.

15.
Gartner. 2011. Gartner Identifies the Top 10 Strategic Technologies for 2012 [online]. [cited 2016.3.10]. .

16.
Google Trends. 2016. Data Science and Big Data Trends [online]. [cited 2016.1.5]. .

17.
Han, M. K. 2011. "A Study on the Suggestions and Analysis on the Education Programs in the Presidential Libraries." International Journal of Knowledge Content Development & Technology, 1(1): 39-60. crossref(new window)

18.
Jagadish, H. V. 2015. "Big Data and Science: Myths and Reality." Big Data Research, 2(2): 49-52. crossref(new window)

19.
Lipman, B. 2014. Universities Increasing Programs for Data Scientists [online]. [cited 2016.1.3]. .

20.
Loukides, M. 2010. What is Data Science? [online]. [cited 2016.1.12]. .

21.
Miller, C. C. 2013. "Data Science: The Numbers of Our Lives." The New York Times.

22.
Provost, F. and T. Fawcett. 2013. "Data Science and its Relationship to Big Data and Data-Driven Decision Making." Big Data, 1(1): 51-59. crossref(new window)

23.
Shi, Y., P. S. Yu, Y. Zhu, and Y. Tian. 2014. "Explore New Field of Data Science Under Big Data Era: Preface for ICDS 2014." Procedia Computer Science, 30: 1-3. crossref(new window)

24.
SINTEF. 2013. Big Data, for better or worse: 90% of world's data generated over last two years [online]. [cited 2015012.12]. .

25.
Swanstrom, R. 2015. College and University Data Science Degrees [online]. [cited 2015.12.27]. .