The Consortium is establishing research collaboration with international partners to develop breakthrough technologies for real-world problems.
The Consortium organises activities such as training courses, workshops and networking events.
Singapore-incorporated companies and public agencies with interest in developing data science capabilities are welcome to apply for Consortium membership to engage in a variety of activities, research and development opportunities in close interaction with institutes of higher learning who are represented in the Consortium.
The National Research Foundation (NRF) Singapore, in collaboration with the National University of Singapore (NUS), the Nanyang Technological University (NTU), the Singapore Management University (SMU) and the Agency for Science, Technology and Research (A*STAR), has set up the Singapore Data Science Consortium (SDSC), a national partnership with the following vision and mission:
The Consortium, led by Professor Ho Teck Hua, Senior Deputy President and Provost and Tan Chin Tuan Centennial Professor at NUS, will be the key platform in Singapore for industry to access the latest data science technologies, applications, and expertise from the academia to create innovative solutions that solve real-world challenges.
SDSC will help the industry to identify and shape their data science problem statements, match companies to the relevant potential R&D partners, and conduct industry engagement events and workshops to allow companies to understand the possibilities that data science and data analytics can bring to their business and operations, thereby facilitating adoption and commercialisation of these technologies by our companies. The Consortium will also co-ordinate educational activities and offer specific courses in big data science to address the current shortage and demand of experts in data science.
Members of the SDSC will be eligible to participate in the events and workshops organised by the Consortium and participating institutes, to have consultation hours with our principal data scientists and to enrol their staff members for the educational courses offered by the Consortium.