Data Science Study Program
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50015489" target="_blank" >RIV/62690094:18450/18:50015489 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Data Science Study Program
Original language description
Society producing data at an incredible rate, fuelled by the increasing ubiquity of the Web, and stoked by social media, sensors, and mobile devices. The current rapid development in the field of Big Data brings a new approach to education. The amount of produced data continues to increase, so does the demand for practitioners who have the necessary skills to manage and manipulate this data. Reflecting the call for new knowledge and skills required from Graduates of the Faculty of Informatics and Management, University of Hradec Kralove, the study program Data Science is being prepared. The first step is to ensure the quality of highly professional training program; the faculty started the co-operation with IBM in 2015. The aim of the joint training program BigData EduCloud was to provide students with practical professional skills and prepare them for new positions that have recently been created on the labour market. The program consisted of lectures, workshops and intensive consultations. On the basis of experience with the BigData EduCloud program, the new study program Data Science is being prepared.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DIVAI 2018 : 12th International scientific conference on Distance learning in applied informatics
ISBN
978-80-7598-059-5
ISSN
2464-7470
e-ISSN
2464-7489
Number of pages
10
Pages from-to
337-346
Publisher name
Wolters Kluwer ČR
Place of publication
Praha
Event location
Sturovo
Event date
May 2, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000459255700030