%0 Conference Proceedings
%T Development of IPSJ Data Science Curriculum Standard
%+ Saga University [Japon]
%+ Suwa University of Science [Chino, Nagano] (SUS)
%+ Nagoya University
%+ The University of Tokyo (UTokyo)
%+ Tokyo Institute of Technology [Tokyo] (TITECH)
%+ Tsuda University
%+ The Open University of Japan [Chiba] (OUJ)
%+ Mie University
%+ Kokugakuin University [Tokyo]
%+ Digital Growth Academia, Inc. [Tokyo]
%+ Musashino Gakuin University [Sayama]
%+ The Japan DataScientist Society
%A Kakeshita, Tetsuro
%A Ishii, Kazuo
%A Ishikawa, Yoshiharu
%A Matsubara, Hitoshi
%A Matsuo, Yutaka
%A Murata, Tsuyoshi
%A Nakano, Miyuki
%A Nakatani, Takako
%A Okumura, Haruhiko
%A Takahashi, Naoko
%A Takahashi, Norimitsu
%A Uchida, Gyo
%A Uematsu, Eriko
%A Saeki, Satoshi
%A Kato, Hiroshi
%Z Part 2: National Policies and Plans for Digital Competence
%< avec comité de lecture
%@ 978-3-030-97985-0
%( IFIP Advances in Information and Communication Technology
%B Open Conference on Computers in Education (OCCE)
%C Tampere, Finland
%Y Don Passey
%Y Denise Leahy
%Y Lawrence Williams
%Y Jaana Holvikivi
%Y Mikko Ruohonen
%I Springer International Publishing
%3 Digital Transformation of Education and Learning - Past, Present and Future
%V AICT-642
%P 156-167
%8 2021-08-17
%D 2021
%R 10.1007/978-3-030-97986-7_13
%K Data science
%K Curriculum development
%K Statistics
%K Artificial intelligence
%K Computer science
%K Data management
%K Software engineering
%K Data scientist certification
%Z Computer Science [cs]Conference papers
%X The Information Processing Society of Japan (IPSJ) published a curriculum standard for university-level education majoring in data science (DS) (An English translation of the IPSJ Data Science Curriculum Standard is available at: https://www.ipthree.org/wp-content/uploads/IPSJ-DS-Curriculum_202104_en.pdf). In this paper, we shall report strategy and development of the DS curriculum standards. Data science education and the development of data scientists are recognised to be quite important in both social and business contexts. The IPSJ DS curriculum standard is developed by integrating various related initiatives and has the following unique features. (1) The DS curriculum standard covers a wide range of related fields to ensure international compatibility through mapping to the ACM Data Science curriculum and the European EDISON Data Science Framework. (2) It collaborates with the IPSJ Data Scientist certification (under development) by referring to the Data Scientist skill checklist (assistant level) developed by the Data Scientist Society of Japan. (3) It clarifies the knowledge and skills required of students majoring in data science. (4) It assigns a time to each educational content so that the curriculum size becomes approximately 675 class hours (60 credits in the Japanese credit system). (5) It collaborates with the Model Curriculum for Mathematics, Data Science and AI Education (literacy level) developed by the Japan Inter-University Consortium for Mathematics and Data Science, supported by the Japanese government.
%G English
%Z TC 3
%2 https://inria.hal.science/hal-04161448/document
%2 https://inria.hal.science/hal-04161448/file/517052_1_En_13_Chapter.pdf
%L hal-04161448
%U https://inria.hal.science/hal-04161448
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC3
%~ IFIP-OCCE
%~ IFIP-AICT-642