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�Ӱ�ԭ�� University has announced a geared at graduate students and high-tech professionals who are interested in understanding how to analyze and use “big data” sets collected by governments, industry, non-governmental organizations and others.

Increasingly, these data are being used for purposes such as improving the efficiency of health-care delivery, predicting national security threats or generating personal recommendations for online shopping.

“�Ӱ�ԭ�� has a strong relationship with Ottawa’s tech sector,” said Frank Dehne, Chancellor’s Professor in �Ӱ�ԭ��’s School of Computer Science. “Working with these businesses and other partners, �Ӱ�ԭ�� is poised to become a national hub for data science research and training, educating a highly skilled workforce for local, national and international communities and creating the next generation of IT leaders.”

Students will earn their degree in one of six academic disciplines at �Ӱ�ԭ�� with a specialization in data science or an MBA concentration in business analytics through research or coursework that addresses a data science challenge.

At �Ӱ�ԭ��, more than 130 researchers are working on projects involving big data. Examples include:
• DNA and molecular modelling data
• Data from the Confederation Bridge
• Cloud computing
• Information retrieval and web information access
• Natural language processing
• Artificial intelligence
• Database and information integration.
• Business analytics in marketing, finance, human resources, and operations
• Sensor data analytics
• Patient monitoring

The collaborative program launches this week. Applications are being accepted until Oct. 31, 2014. The program is open to students who are already enrolled in one of the participating �Ӱ�ԭ�� master’s programs.

Participating programs include Biology; Biomedical Engineering; Business; Computer Science; Economics; Electrical and Computer Engineering; and Geography. Several of these programs are part of the joint institutes with the University of Ottawa.

�Ӱ�ԭ�� is positioning itself as a leader in Data Science and this announcement is one more in a list of achievements in the field.

During Data Day in spring 2014, �Ӱ�ԭ�� celebrated its strategic development in Data Science and held a discussion between national experts, academic leaders and community members about the possibilities and potential of the area.

for more information about more information and how to apply to the program.