University of Ottawa

Overview

The Digital Transformation and Innovation – Applied Data Science program at the University of Ottawa is a comprehensive graduate degree designed to equip students with the skills needed to leverage data science for innovation in various sectors. This multidisciplinary program emphasizes the integration of analytics to address real-world digital transformation challenges while prioritizing ethics, user experience, and responsible artificial intelligence practices.

What you'll study

The curriculum merges applied data science with principles of digital transformation, design, and responsible innovation. Course offerings may differ each term, and students will finalize their study plan with the guidance of the program.

Core learning areas

• Applied data science and analytics for practical digital initiatives
• Management perspectives on digital transformation and innovation
• User experience, user research, and interaction design
• Ethics in design, AI, and robotics; promoting responsible decision-making
• Technological foundations for digital platforms, including web services and distributed systems
• Exploration of emerging fields such as natural language processing and smart city applications

Indicative course list

• Data Science Applications
• Fundamentals for Applied Data Science
• Research Workshop in Digital Transformation and Innovation
• Communication Ethics
• Ethics for Design, AI, and Robotics
• Digital Marketing
• Natural Language Processing
• Distributed Databases and Transaction Processing
• Ubiquitous Sensing for Smart Cities
• Internet Technologies and Mobile Commerce
• Mobile Commerce Technologies
• Systems and Architectures for Electronic Commerce
• Electronic Commerce Technologies
• User Experience Principles and Practices
• User Research
• Interaction Design
• Design Thinking
• Web Services
• Cyber Security Systems and Strategies
• Strategic Knowledge Management

Capstone / research component: The program includes a dedicated research workshop focusing on digital transformation and innovation, where students can apply methodologies to real-world problems and effectively communicate their findings.

Entry requirements

While specific GRE, GMAT, or GPA requirements are not publicly stated for this program, prospective students are encouraged to verify any prerequisites directly with the university.

Career prospects

Graduates of the Digital Transformation and Innovation – Applied Data Science program are well-prepared for a variety of roles in data science, digital innovation, and technology management. Opportunities exist across numerous sectors, including technology, healthcare, finance, and public services, where the ability to harness data for strategic decision-making is increasingly valued.