Master of Digital Transformation and Innovation and Concentration Applied Data Science

The Digital Transformation and Innovation program is a multi-faculty collaboration between the Telfer School of Management, the Faculty of Arts, and the Faculty of Engineering to train highly qualified professionals to create, manage and research the profound change to our world that is happening as a result of electronic digital technology. At its heart, the technology enables the collection and communication of huge amounts of data that transforms how business and society works. It also creates a new online environment where the experience of business and social interactions by individuals is being reinvented. Innovation is an important aspect of the program to emphasize the re-invention and creative design of user experiences in business and social interactions. The concentration in Applied Data Science is a multidisciplinary graduate program with a strong commitment to industry relevance and ethics.

Admission Requirements

• Bachelor’s degree with a specialization or a major (or equivalent) in a relevant discipline with a minimum admission average of 75% (B+).
• Have completed a course in statistics; a course in management information systems or computing; and two advanced courses showing specialization in one of three disciplines: creative arts and humanities (online multi-media or communications); management (digital transformation management or strategy); technology (online application development or data science).

What You’ll Learn

• Develop and demonstrate the ability to communicate with and integrate multi-disciplinary expertise related to data.
• Develop and demonstrate the ability to lead, design, and create data-driven transformation and innovation using current and emerging tools, techniques and technology.
• Obtain the required skills in data cleaning, data quality, data analytics and machine learning to apply data science methods in practice to real problems involving digital transformation and innovation.
• Develop and demonstrate the ability to assess, test and research innovation in data science with sensitivity and awareness around ethics, equity, diversity, business impact and social impact.