NECESSITY OF IMPLEMENTATING DATA SCIENCE COURSE IN ECONOMICS CURRICULA
Keywords:economic specialties, Data Science, Data Mining, Big Data, students of higher education institutions
The article describes the relevance and feasibility of implementation Data Science courses for leading economics majors: 051 Economics, 075 Marketing, 073 Management. Application of computer technology, mathematical methods and models, statistical analysis in the study process for economics students became routine long time ago, then why is Data Science linked mostly only to the faculties of information technologies? The specificity of economic professions requires the acquisition of skills in the work with large data sets, qualitative evaluation of statistics, predicting a large number of economic phenomena, so the economist of the future should be not only a specialist in the main subject area, but also a specialist in Big Data and Data Mining. The study outlines the underlying background for essential changes. The article analyzes relevant educational and professional programs, blocks of disciplines, providing qualitative assimilation of new information by students and acquisition of those abilities and skills that are needed by the modern specialist in the field of economy and will form student as a serious competitor in the labor market. It has been conducted the analysis of modern international commercial on-line courses, specifying the topics and aspects necessary for the future economics graduates. The logical scheme of Data Science specialties introduction which follows the relevant cycle of the existing disciplines of general and professional training is proposed. Mastering the knowledge of qualitative data analysis and tools for optimal work with them should be one of the main tasks of the methodological system of education and research at the faculties of economics. Modern educational technologies and scientific facilities of universities should help to expand the understanding and perception of the economist, marketologist, and manager profession, because the digital advertising, SMM, social networks, online applications, project management, State in a Smartphone, and other rapid transformations encourage to train not classic specialists, but universals who will be able to adapt quickly to the needs of the future.
H. Dutka, “General scientific approaches to the fundamentalisation of mathematical education in the training of economists”, Dzherela: nauk. -metod. visnyk. № 3–4 (51–52), pp. 120 -131, 2008. (in Ukrainian).
N. M. Samaruk, “Professional orientation of teaching of mathematical disciplines of future economists on the basis of cross-curricular relations: diss. ... Cand. Ped. Sciences: 13.00.04 - Theory and Methodology of prof. Education”, TNPU im.V.Hnatiuka. – Ternopil, 21p., 2008. (in Ukrainian).
O. V. Bekh, “Problems of studying mathematical subjects by students of economic specialties”, Teoriia ta metodyka navchannia matematyky, fizyky, informatyky: Zbirnyk naukovykh prats. Vypusk 4: V 3-kh tomakh. – Kryvyi Rih: Vydavnychyi viddil NMetAU, T. 1: Teoriia ta metodyka navchannia matematyky, pp. 7-9, 2004. (in Ukrainian).
N. O. Vasazhenko, “Use of Internet technologies in the process of formation of professional competence of future specialists-economists”, Naukovi zapysky Vinnytskoho derzhavnoho pedahohichnoho universytetu imeni Mykhaila Kotsiubynskoho. Seriia: Pedahohika i psykholohiia, №44, pp. 37-40, 2015. [Online]. Available: http://nbuv.gov.ua/UJRN/Nzvdpu_pp_2015_44_9
S. O. Semerikov and K. I. Slovak, “Theory and methodology of application of mobile mathematical environments in the process of teaching higher mathematics students of economic specialties”, Informatsiini tekhnolohii i zasoby navchannia, №1 (21), 187 p., 2011. (in Ukrainian).
I. A. Kinash, “Information technologies in economic education”, Informatsiini tekhnolohii v osviti, №10, pp. 80-87, 2011. (in Ukrainian). [Online]. Available: http://nbuv.gov.ua/UJRN/itvo_2011_10_12
Yu. Yu. Diulicheva, “Cloud technologies in the training of future economists”, Informatsiini tekhnolohii v osviti, №18, pp. 71-79, 2014. (in Ukrainian). [Online]. Available: http://nbuv.gov.ua/UJRN/itvo_2014_18_10
Kaminsky, O., Yereshko, Y. and Kyrychenko, S. (2017) Cloud platform of the modern Ukrainian university as the prerequisite of transition to the innovative model of economic development. Information Technologies and Learning Tools, 61 (5). [Online]. Available at: https://journal.iitta.gov.ua/index.php/itlt/article/ download/1862/1257. Accessed on: Dec. 19, 2019 (in Ukrainian)
O. M. Yatsko, “Computer-aided methodical system of teaching informatics of future economists in higher educational establishments” [Text]: dissertation author's abstract for obtaining the scientific degree of candidate of ped. Sciences: 13.00.02 - theory and methodology of teaching (computer science), Nats. ped. un-t im. M. P. Drahomanova, 23 p., 2016. (in Ukrainian).
Cathy O'Neil, Rachel Schutt, Doing Data Science Straight Talk from the Frontline, 2013, O'Reilly Media (in English).
Annalyn Ng, Kenneth Soo, Numsense! Data Science for the Layman: No Math Added, 1st Edition, 2017, Publisher: Annalyn Ng & Kenneth Soo (in English).
Roger Peng, Elizabeth Matsui, The Art of Data Science, 2016, lulu.com; null edition (in English)
Judith S. Hurwitz, Fern Halper, Marcia Kaufman, Alan Nugent, Big Data for Dummies, 2013, For Dummies: 1 edition (in English).
Viktor Mayer-Schönberger, Kenneth Cukier, Big Data: A Revolution that will transform how we live, work, and think paperback, 2014, Eamon Dolan/Mariner Books; Reprint edition (in English).
Data Science UA: advisory and education platform. [Online]. Available: https://data-science.com.ua/education/(in English).
University of Chicago. [Online]. Available: https://economics.uchicago.edu/content/ba-economics-specialization-data-science. (in English).
Erasmus University Rotterdam. [Online]. Available: https://www.masterstudies.com/MSc-in-Economics-and-Business-Specialisation-in-Data-Science-and-Marketing-Analytics/Netherlands/Erasmus-School-of-Economics-Erasmus-University-Rotterdam/.(in English).
University of California. [Online]. Available: https://www.econ.ucdavis.edu/undergrad-program/prospective-students/specialization-tracks-1/data-analytics-and-economic-analysis.
Carleton University. [Online]. Available: https://calendar.carleton.ca/grad/gradprograms/datascience/#MA_Economics__with_Specialization_in_Data_Science. (in English).
The site Rambler / Finance, “Big data in the digital economy: product or national treasure?”, 2017. [Online]. Available: https://finance.rambler.ru/economics/36985560-bolshie-dannye-v-tsifrovoy-ekonomike-tovar-ili-natsionalnoe-dostoyanie/?utm_source=copylink&utm_content=rfinance&utm_medium=read_more(in Russian).
The official site Statista, Global No.1 Business Data Platform, “Segment capacity of the World Data Warehouse from 2016 to 2021 (in Eb)”, 2019. [Online]. Available: https://www.statista.com/chartoftheday/ALL/(in English).
The official site McKinsey, “Big data: The next frontier for innovation, competition, and productivity”, 2019. [Online]. Available: https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/big-data-the-next-frontier-for-innovation(in English).
S. O. Tul'chyns'ka, A. A. Mel'nychenko and O. A. Akimova, Management in the field of education and science as a factor of ensuring sustainable development of the state and regions. VP “Edel'vejs”, 2012 ( in Ukrainian).
How to Cite
Authors who publish in this journal agree to the following terms:
- Authors hold copyright immediately after publication of their works and retain publishing rights without any restrictions.
- The copyright commencement date complies the publication date of the issue, where the article is included in.
- Authors grant the journal a right of the first publication of the work under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0) that allows others freely to read, download, copy and print submissions, search content and link to published articles, disseminate their full text and use them for any legitimate non-commercial purposes (i.e. educational or scientific) with the mandatory reference to the article’s authors and initial publication in this journal.
- Original published articles cannot be used by users (exept authors) for commercial purposes or distributed by third-party intermediary organizations for a fee.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) during the editorial process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (see this journal’s registered deposit policy at Sherpa/Romeo directory).
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Post-print (post-refereeing manuscript version) and publisher's PDF-version self-archiving is allowed.
- Archiving the pre-print (pre-refereeing manuscript version) not allowed.