Main Content

TD Management Data and Analytics Lab

Our lab promotes cutting-edge analytic tools in business through teaching and research, and is a central source of knowledge and expertise in data science, AI, and machine learning applications.

The field of management analytics is evolving at a rapid pace. Along with machine learning and artificial intelligence, the recent growth of big data is creating a revolution in research methods, allowing scholars and practitioners to solve ever-more complex business challenges.

As part of its mission to become a leader in the teaching and application of big data, the School has established the TD Management Data and Analytics Lab. A one-of-a-kind interface that facilitates the assembling, storage and management of big data, the lab empowers its users to create and manage new data sets, and derive actionable insights from them using new programming languages and analytic tools.

The lab draws upon data from both private and public sources for research and classroom activities. It is an invaluable resource to students and researchers at Rotman, as well as to members of the broader academic and business communities.

The mission of the TD Management Data and Analytics Lab is multi-faceted and aims to:

  • Manage an analytics cluster, providing the computing infrastructure needed for robust and accurate data management
  • Provide a resource for students and faculty as they apply AI and machine learning tools to complex management issues
  • Spur the development of in-house expertise and academic materials, and ensure coverage of the most critical issues in analytics based on the input of its data scientists in residence
  • Bring together industry and academic expertise through the development of programming workshops and speaker series on topics at the forefront of applications of AI and machine learning in industry

Who uses the Management Data Lab at the Rotman School of Management, University of Toronto

Who uses the Lab?

The services and tools provided by the Lab are intended for three broad audiences: students, faculty, and industry partners.


Services offered by the Management Data Lab


To drive the study and practice of management analytics forward the TD Management Data and Analytics Lab offers a range of computing services for students and faculty.




The Lab is active in generating and managing data in partnership with the broader academic and business communities.


The TD Management Data and Analytics Lab (TD MDAL) is partially funded by private donations from corporations and individuals that wish to support the centre’s mission. However, we do not conduct any commercial activities that may pose potential conflicts of interest.

All funds received are administered by the University and acts as a safeguard to ensure that funds are spent responsibly, and in accordance with any terms and conditions attached. Every effort is made to uphold the University’s reputation for fairness, integrity and honesty; most importantly, the entitlement of students and employees to equitable treatment. The University also expects of its members the highest standards of ethical conduct in every aspect of research, in accordance with the University’s Policy on Ethical Conduct in Research. When publishing the finding of research, the University Policy on Conflict of Interest – Academic Staff requires faculty members to disclose the source of funding in the publication unless the faculty member has obtained approval to do otherwise.