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PhDRecommended
PhD of Data Science, Analytics, And Artificial Intelligence
- Ottawa, Canada
- 4 years
- English
- On campus
- PhD
About the program
Doctorate focused on the technical side of data science, analytics and artificial intelligence.
Program highlights
- Internship available: no
- Placement support: no
- Work during study: yes
- Post-study work rights (3): yes
- PR pathway friendly: no
What you will learn
- Develop foundational knowledge in Data Science
- Analytics
- and Artificial Intelligence. Apply skills related to Thesis-based doctorate on the technical aspects of data science
- drawing on statistics
- AI methods and software engineering. Interpret relevant evidence and communicate findings within the discipline.
Career outcomes
- Data science and analytics and related disciplines
Curriculum
- Thesis-based doctorate on the technical aspects of data science
- drawing on statistics
- AI methods and software engineering. Students study collection
- preprocessing
- exploration
- use and visualization of data from sensors
- transactions and other sources. The programme spans four units of the Faculties of Science and Engineering and Design.
Entry requirements
Academic
- Master's degree with B+ or better in courses including the thesis and no grade below B- (https://graduate.carleton.ca/apply-online/minimum-requirements/)
- Programme-specific requirements apply
- English proficiency required unless exempt
- Additional academic criteria: B+ or better in courses (including thesis)
- No grade below B-.
Accepted academic background
Master's degree
Language tests
- IELTS 6.5 (6.0 each band)
- TOEFL iBT 4.5 (new scale
- PTE Academic 5.0 writing
- Duolingo 4.5 other skills
- Institutional test 86 for tests before 2026-01-21)
Documents you’ll need
- Completed Application
- Official Academic Transcripts
- Passport or Identity Document
- Previous Degree Certificate
- Proof of Funds for Study Permit
- Academic References
- Statement of Purpose
- Research Proposal
- Academic CV
How to apply
- Review the Data Science
- Analytics
- Artificial Intelligence admission requirements and the current intake deadline. Prepare a research proposal and contact a potential supervisor where the program requires one. Complete the application through Carleton360. Prepare academic transcripts and evidence of previous qualifications. Provide English language test results if required. Submit the supporting documents requested by admissions. Confirm the applicable application fee before submitting the application. Review any admission offer and complete the required acceptance steps. Prepare the appropriate student immigration application if necessary.
Other costs
| Tuition per year | $17,127 CAD |
|---|---|
| Application fee | $125 CAD |
| Deposit | $2,000 CAD |
Program details
| Campus | Main campus |
|---|---|
| Faculty or school | Academic Unit Not Confirmed |
| Department | Academic Unit Not Confirmed |
| Teaching language | English |
| Credit value | 30 |
| Study pace | Fixed |
| Post-study stay | 3 |
| Scholarship note | Potential Carleton University scholarship or funding opportunities may be relevant to Data Science, Analytics, and Artificial Intelligence. Confirm the award, international eligibility, funding level, and application dates with the institution. |
Intakes and deadlines
Program starts
September 2027
Apply by
10 Jan 2027
57 days left
Frequently asked questions
The program takes 4 years.
The next deadline is 10 Jan 2027. Apply early, because some programs close when places fill up.
Tuition is $17,127 CAD per year. The application fee is $125 CAD. The deposit is $2,000 CAD. The estimated living cost is $23,448 CAD.
Accepted language tests: IELTS 6.5 (6.0 each band), TOEFL iBT 4.5 (new scale, PTE Academic 5.0 writing, Duolingo 4.5 other skills, Institutional test 86 for tests before 2026-01-21).