About this paper

Appears in:
Pages: 4389-4394
Publication year: 2019
ISBN: 978-84-09-12031-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2019.1106

Conference name: 11th International Conference on Education and New Learning Technologies
Dates: 1-3 July, 2019
Location: Palma, Spain

ASSESSING THE ENTRY COMPETENCES OF DATA SCIENCE MASTER PROGRAM POTENTIAL STUDENTS

K. Rasheva-Yordanova1, S. Toleva-Stoimenova1, I. Kostadinova1, D. Christozov2, B. Nikolova1

1University of Library Studies and Information Technologies (BULGARIA)
2American Univercity in Bulgaria (BULGARIA)
Recent evolution of information technologies (IT), computing power and Internet have resulted in a tremendous growth of the amount of data generated by humans and machines. Big Data paradigm revolutionized entire IT landscape and changed human culture and behavior. Nowadays we have many new technologies, methods and tools to manage and process efficiently the large data volumes available. As a result of the information age, Data Science has emerged as a new inter and multidisciplinary area of knowledge. The Data Scientist is “a unicorn” who has to face the complex Big Data challenges, responsible for uncovering patterns and insights hidden in huge volumes of heterogeneous data to drive decision-making.

A Data Scientist is a professional possessing analytic skills, abilities in bringing disparate areas together in a novel creative way, asking the right questions, and driven by solving problems, and being curious, and creative. In our previous studies, we identified analytical thinking and analytical skills as the core competences of data analysts and researchers. This study addresses Data Science and the Data Scientist’s skills from point of view of designing curriculum for developing competences for successful career in the area of Data Science.

In this paper we share results of a research conducted to assess the entry competences of students, potential candidates for a Data Science Master Program. The survey emphasizes abilities rather knowledge, stressing on analytical, critical thinking of current students in IT-related bachelor degree programs.

The constructed questionnaire is based on known tests to assess analytical thinking, critical thinking, problem solving attitude, etc. adopted to the objectives of designing Data Science curriculum. It represents logical problems in three different formats: math questions, text assignment and figures pattern recognition. The questionnaire also includes self-assessment of analytical thinking skills and dispositions.

The survey was done in the Fall 2018. About 200 students on their senior year were approached by an on-line questionnaire. Students were originally classified according to their majors as possessing “technical” and “non-technical” background. We have used standard statistical methods and analysis using the SPSS. Our analysis reveals the level of analytical, creative and critical thinking of the respondents. It justified, in general terms, one of the assumptions that both categories of potential students are capable to study in the Data Science Master program and to become successful Data Scientist.
@InProceedings{RASHEVAYORDANOVA2019ASS,
author = {Rasheva-Yordanova, K. and Toleva-Stoimenova, S. and Kostadinova, I. and Christozov, D. and Nikolova, B.},
title = {ASSESSING THE ENTRY COMPETENCES OF DATA SCIENCE MASTER PROGRAM POTENTIAL STUDENTS},
series = {11th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN19 Proceedings},
isbn = {978-84-09-12031-4},
issn = {2340-1117},
doi = {10.21125/edulearn.2019.1106},
url = {http://dx.doi.org/10.21125/edulearn.2019.1106},
publisher = {IATED},
location = {Palma, Spain},
month = {1-3 July, 2019},
year = {2019},
pages = {4389-4394}}
TY - CONF
AU - K. Rasheva-Yordanova AU - S. Toleva-Stoimenova AU - I. Kostadinova AU - D. Christozov AU - B. Nikolova
TI - ASSESSING THE ENTRY COMPETENCES OF DATA SCIENCE MASTER PROGRAM POTENTIAL STUDENTS
SN - 978-84-09-12031-4/2340-1117
DO - 10.21125/edulearn.2019.1106
PY - 2019
Y1 - 1-3 July, 2019
CI - Palma, Spain
JO - 11th International Conference on Education and New Learning Technologies
JA - EDULEARN19 Proceedings
SP - 4389
EP - 4394
ER -
K. Rasheva-Yordanova, S. Toleva-Stoimenova, I. Kostadinova, D. Christozov, B. Nikolova (2019) ASSESSING THE ENTRY COMPETENCES OF DATA SCIENCE MASTER PROGRAM POTENTIAL STUDENTS, EDULEARN19 Proceedings, pp. 4389-4394.
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