Data Science (Undergraduate Level)
Three Goals and Educational Vision
to build a student-centered, open educational platform to educate Sungkyun Data Scientists
to build a creative convergence educational platform to foster Sungkyun Data Scientists
to implement iSchool-based global-standard educational programs
Student-centered Open Education
- The iSchool CK Project Team has launched the Data Science Track for interdisciplinary programs on an open convergence educational platform to educate data scientists. Instead of opening a new department. Department of Library and Information Science started the track with the collaboration of various disciplinary fields of the university Data Science track has programs for both ‘double-major’ and ‘CI certificate.’
Creative Convergence Education
- The interdisciplinary “Data Science” track provides a platform for converging diverse subject fields, ranging from those of Library and Information Science(LIS) to related studies including Statistics, Computer Education, Business Administration, Consumer and Family Science, and German Linguistics, creating diversified socially applicable fields.
iSchool-based Global Standard Education
- As a member of the iSchool Consortium, the iSchool CK Project Team maximizes exchanges with other member universities to share experiences in education, research, and human resources.
- Educational programs are offered to include the global standard “Data Science” curriculums, which are implemented in other iSchools to expand socially applicable IT fields
Data Science & Data Scientists
Data Science refers to a discipline that studies scientific and systematic approaches to solve various problems embedded in data ecosytems such as generation, collection, analysis, application, distribution, and storage of data. These problems are caused by explosive amount of data produced in public, industrial, and private sectors.
In a narrow sense, ‘data science’ is a research field that finds scientific methods to extract meaningful information and create new values by filtering various formatted or non-formatted data.
More specifically, data scientists are professionals in social data, academic research data, health and medical treatment data, big data, and data curation.
The Necessity of “Data Science”
Scientific and systematic approaches are required to solve problems raised by the explosive increase of data produced in the public, industrial, and private sectors in the overall data ecosystem (generation, analysis, application), and the current social demands for professionals who can solve these problems are rapidly increasing. (Harvard Business Review (Oct. 2012) Data Scientist: The Sexiest Job of the 21st Century – Meet the People Who Can Coax Treasure out of Messy, Unstructured Data, by Thomas H. Davenport and D.J. Patil)
Despite the fact that there is extreme imbalance in terms of demand and supply of data analysis specialists on the global level, no Korean university has a department to educate and train data professionals who can collect, analyze, manage, and store data, and only a few universities overseas are opening undergraduate and graduate programs in this field. At this point of time, SKKU can lead the agendas in Korea if LIS provides a newly constructed education model to raise data specialists corresponding to current technological, industrial, and working environments.
It is likely to be more beneficial to start a new interdisciplinary program by utilizing an existing infrastructure of the university, rather than opening a new department., Likewise, ‘data science’ was launched by Department of Library and Information Science(LIS) as a focal point with the cooperation of other departments. The LIS funded and supported by government’s CK Project expects to contribute to broadening job opportunities and diversifying career paths for students with the start of ‘Data Science’ track.
To meet the rising demands for data professionals and dominate the new global marketplace, opening of ‘Data Science’ program is urgent and necessary.