1 University of Library Studies and Information Technologies (BULGARIA)
2 American University of Bulgaria (BULGARIA)
About this paper:
Appears in: INTED2019 Proceedings
Publication year: 2019
Pages: 6643-6650
ISBN: 978-84-09-08619-1
ISSN: 2340-1079
doi: 10.21125/inted.2019.1614
Conference name: 13th International Technology, Education and Development Conference
Dates: 11-13 March, 2019
Location: Valencia, Spain
The penetration of modern technologies has led to the expansion of the use of databases and data services. This phenomenon has led to the rise of Data Science, and data scientists have become professionals with a particular importance in terms of extracting new knowledge from data.

Achieving a comprehensive competence for learning through "big data" is a task of re-engineering the existing learning way. It is appropriate to understand what knowledge and skill base must data scientists have to meet the current technology capabilities and the expectations of business organizations.

Тhe research addresses the following questions:
1. What skills base should have a data scientist?
2. What is the good practice in data science training?
3. What are the potential students of data science training course and what will be their incoming knowledge and skills base?

This study aims to present the overall process of planning, preparing and building the data science curriculum. In the context of the data science area, the curriculum as an endpoint in the map refers to the building of certain skills that allow extracting knowledge from the available data and is aimed at training students of the University of Library Science and Information Technology in Bulgaria.
Data science, data science skills, data science competences.