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Enormous quantities of machine-readable data, measured in many terabytes, are readily available. The sources include the world-wide web, publicly available databases, raw experimental data, unannotated genomic sequences generated by biochemical tools, and so on. However, data does not necessarily equal useful information. More often than not, the data has to be intelligently processed, interpreted, transformed, and then integrated into unified repositories. The research internships in the data science program pilot enable local companies to access high-in-demand expertise and collaborate with the University of Victoria to advance and apply high quality methods for exploring, integrating and analyzing “big data” for their respective business goals. The pilot seeks to build an ongoing initiative in data science and industry collaborations through HQPs.
Alex Thomo;Sue Whitesides;Yvonne Coady;Kui Wu;Daniela Damian;Jianping Pan
Akimi Labs Ltd;Schneider Electric of Canada (Saanichton);Isolation Network Canada;Mybesthelper Solutions Inc;FillZ|Abebooks;Focus Sales Systems;MyTotalWellbeing Inc
Computer science
Professional, scientific and technical services
University of Victoria
Accelerate
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Find ProjectsThe strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.