Participating Master’s Programs (Collaborative Specialization in Data Science)*

Since you will be earning your degree from another academic unit, you should consult with your home unit for the most up-to-date information on your program requirements. You can find links to your participating program below:

*Business offers a MBA with a Concentration in Business Analytics. 

Biology*

  • M.Sc. Biology
Health Sciences

  • M.Sc. Health Sciences
Biomedical Engineering*

  • M.A.Sc. Biomedical Engineering
  • M.Eng. Biomedical Engineering
History

  • M.A. History
Business (MBA)

  • Concentration in Business Analytics
Information Technology

  • M.A.Sc. Digital Media
Chemistry

  • M.Sc. in Chemistry
International Affairs (NPSIA)

  • M.A. International Affairs
Cognitive Science

  • Master of Cognitive Science
Mechanical and Aerospace Engineering*

  • M.A.Sc. Aerospace Engineering
  • M.A.Sc. Materials Engineering
  • M.A.Sc. Mechanical Engineering
Communication

  • M.A. Communication and Media Studies
Physics

  • M.Sc. Physics (Medical)
  • M.Sc. Physics (Particle)
Computer Science*

  • M.C.S. Computer Science
Psychology

  • M.A Psychology
Economics

  • M.Sc. Econonmics
Public Policy and Administration

  • Master of Public Policy
Electrical and Computer Engineering*

  • M.A.Sc. Electrical and Computer Engineering
  • M.Eng. Electrical and Computer Engineering
Sociology

  • M.A. Sociology
Geography

    • M.A. Geography
    • M.Sc. Geography

*Part of a joint institute with the University of Ottawa

Data Science Specialization Student Regulations

In addition to the general regulations stated in the Graduate Calendar, students that are part of the Carleton University Institute of Data Science must also abide by the following student regulations:

  1. Students completing a thesis, project, or research essay pathway within the Specialization in Data Science will require a research supervisor affiliated with the specialization. See a listing of such faculty members on our faculty webpage.
  2. Any research project/thesis must have substantial “data science content” (to be evaluated by your research supervisor).
  3. Students must register in DATA5000 in their first year to avoid losing their seat in the Specialization.
  4. DATA5000 project and any research project/thesis must contain a discussion of ethical considerations related to data science.
  5. Each DATA5000 project should be presented at Data Day or another public venue.
  6. DATA5000 projects should be completed in interdisciplinary teams.

You are encouraged to relay any feedback on the Specialization to the Chair of the Governance Committee or to their Research Supervisor.

Graduate Studies Resources

Carleton’s Graduate Studies offers many resources and services to its graduate students. Here are a few that might be of interest to you: