Participating Programs
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:
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:
- 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.
- Any research project/thesis must have substantial “data science content” (to be evaluated by your research supervisor).
- Students must register in DATA5000 in their first year to avoid losing their seat in the Specialization.
- DATA5000 project and any research project/thesis must contain a discussion of ethical considerations related to data science.
- Each DATA5000 project should be presented at Data Day or another public venue.
- 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:
- New graduate student checklist
- Current graduate student website
- Thesis Information
- Forms and Policies
- Graduate and Postdoc Professional Development: As a graduate student at Carleton, you have access to a variety of professional development resources. These include skill workshops, one-on-one career and writing consultations, career-oriented events, and even structured programs. Challenge yourself by acquiring new skills that can help you boost your employability.
- TheGraduate@Carleton newsletter
- Current students who have questions regarding Data Science should email us at CUIDS@carleton.ca.