Graduate Specialization in Data Science
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.
| * M.Sc. Biology | Health Sciences M.Sc. Health Sciences |
| * M.A.Sc. Biomedical Engineering M.Eng. Biomedical Engineering | History M.A. History |
| 听(惭叠础) Concentration in Business Analytics | 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 |
M.A. Communication and Media Studies | M.Sc. Physics (Medical) M.Sc. Physics (Particle) |
| * M.C.S. Computer Science | Psychology M.A Psychology |
M.Sc. Econonmics | Public Policy and Administration Master of Public Policy |
| * M.A.Sc. Electrical and Computer Engineering M.Eng. Electrical and Computer Engineering | Sociology M.A. Sociology |
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 , students that are part of the 杏吧原创 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 鈥渄ata science content鈥 (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
杏吧原创鈥檚 Graduate Studies offers many resources and services to its graduate students. Here are a few that might be of interest to you:
- Graduate and Postdoc Professional Development: As a graduate student at 杏吧原创, 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.
- Current students who have questions regarding Data Science should email us at CUIDS@carleton.ca.