Training experts in AI, IoT, big data and cyber security in a Waseda University-led consortium
September 8, 2017
On August 22, a consortium formed of 24 participating and 12 collaborating institutions from within and outside of Japan, ranging from the industrial, governmental, academic and financial sectors, was selected for the 2017 Data Analysis Talent Development Program by the Ministry of Education, Culture, Sports, Science and Technology. The consortium is led by Waseda University.
What is the Data Analysis Talent Development Program?
In order for Japan to survive the fourth wave of industrial revolution, recruiting and training talents in data technology (AI, IoT, big data, cyber security, etc.) with related knowledge and skills are becoming crucial. Moreover, the Japanese government is trying to support career development initiatives of such talents and encourage them to play an active role in society. Out of the 13 organizations that applied to the program, four organizations (consortiums) were selected, including Waseda's. Open to doctoral students and PhD holders who are familiar with handling highly technical data through research, the program aims to establish a consortium where businesses and universities, and recruit as well as build a talent pool while creating employment opportunities for them. Furthermore, it will develop and implement practical training programs, such as internships and project-based learning.
Features of the consortium
This consortium led by Waseda will be managed by the Consortium Management Council. In cooperation with collaborating institutions, it will strengthen data technology-related skills for doctoral students and PhD holders, and design a curriculum for future PhD students (undergraduate and Master's degree students) and working adults who will serve as their career model. The consortium aims to become self-sustainable using provided funding and produce 680 advanced data talents in over the course of eight years for addressing problems in shortage of talents. This will help dispatch experts to the fields of advanced technology development and financial businesses, which will become the core of Society 5.0, an initiative led by the Japanese government to realize a hyper smart society.
Institutions in the consortium
Leading institution
Waseda University
Participating institutions
National
Ochanomizu University
Tokyo University of Science
Yamagata University
Tokyo Women’s Medical University
Nara Medical University
Japan Women’s University
Riken
National Institute of Advanced Industrial Science and Technology
Japan Association of Corporate Executives
Japan Association of New Economy
Japan Federation of IT Associations
Japan Association for IT Career
Emerging Technologies Corporation
ALT-BRIDGE TECHNOLOGY Inc.
SoftBank Corp.
IBM Japan, Ltd.
Nomura Securities Co., Ltd.
bitFlyer, Inc.
BrainPad Inc.
Mizuho Bank, Ltd.
LINE Corporation
Mitsubishi UFJ Financial Group, Inc. (Tentative)
Overseas
University of Bonn (Germany)
Catholic University of Korea (Korea)
Collaborating institutions
National
Japan DataScientist Society
Institution for a Global Society Corporation
OPT Holding Inc.
Daiwa Securities Group Inc.
Nippon Telegraph and Telephone Corporation
Hitachi, Ltd.
Sumitomo Mitsui Financial Group, Inc.
Yahoo Japan Corporation
Overseas
Tel Aviv University (Israel)
OECD Nuclear Energy Agency (France)
National Centre for Text Mining (United Kingdom)
University of Manchester (United Kingdom)
For more information, visit the news article on the Waseda University website: https://www.waseda.jp/top/en-news/53710
To inquire about the consortium, contact Waseda University Doctoral Student Career Center at dscc@list.waseda.jp
本プレスリリースは発表元が入力した原稿をそのまま掲載しております。また、プレスリリースへのお問い合わせは発表元に直接お願いいたします。
このプレスリリースには、報道機関向けの情報があります。
プレス会員登録を行うと、広報担当者の連絡先や、イベント・記者会見の情報など、報道機関だけに公開する情報が閲覧できるようになります。
このプレスリリースを配信した企業・団体
- 名称 早稲田大学
- 所在地 東京都
- 業種 大学
- URL https://www.waseda.jp/top/
過去に配信したプレスリリース
新たな政府統計の分析が明らかにした「裁量労働制」の労働環境への影響
2024/12/19
レニウム-オスミウム法による火山性塊状硫化物鉱床の生成年代決定
2024/12/19
宇宙古代都市の建設ラッシュを止めるブラックホール
2024/12/18
新技術でCFRPから炭素繊維を加熱・薬剤レス、エネルギー効率10倍で回収
2024/12/16
ヒトの温熱感覚に関わる脳部位と活動パターンを発見
2024/12/12
世界デジタル政府ランキング2024年版公開
2024/12/4
銅酸化物高温超伝導体Bi2212の紫外・可視光領域における大きな光学的異方性の起源を解明
2024/11/20