Rotman School of Management

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Data scientists in residence

A key connection between MMA students and industry, our data scientists in residence provide a wealth of insight.

Our data scientists in residence introduce students to the latest developments in data analytics and connect them to a wide range of thought leaders in industry through workshops, lectures and data competitions. They serve as a valuable resource to students on the MMA program.


Image of Brian Keng

Brian Keng

Brian Keng is the Chief Data Scientist at Rubikloud Technologies and an Adjunct Professor in Data Science at the Rotman School of Management, University of Toronto. At Rubikloud, he leads a team using AI and machine learning to build intelligent decision automation systems for some of the world's largest retail organizations.


Image of Peter Wittek

Peter Wittek

Peter Wittek's research focuses on quantum-enhanced machine learning and artificial intelligence as well as using high-performance learning algorithms in computationally hard problems in quantum physics. As the Academic Director of the Quantum Program in the Creative Destruction Lab, he helps bridge the gap between research-grade results in the field and the commercialization of such technologies.



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The next application deadline is February 5, 2019

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Tip: Apply early to maximize entrance award consideration


Key Facts

Duration

  • 9 months, full-time

Intake

  • August, one intake per year

Tuition fee (2018 entry):

  • Domestic = $46,000 CAD
  • International = $63,000 CAD


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The Rotman MMA is an AI-related master's program recognized by the Vector Institute as delivering a curriculum that equips its graduates with the skills and competencies sought by industry.

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