OpenFieldDoctor of Philosophy (PhD) in Computer Science & Deep Learning (Mila Collaboration)
Doctoral research program conducted in collaboration with Mila (Quebec AI Institute), focusing on deep learning foundations, neural scaling, reinforcement learning, and AI alignment.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Master's degree in CS, Applied Math, or Electrical Engineering with GPA 3.5/4.3+
- English language proficiency
- IELTS 7.0 or TOEFL iBT 95+ (English program at Mila)
- Standardized testing (GRE/GMAT)
- Optional but recommended for international applicants without Canadian credentials
- Thesis / Research statement
- Research portfolio or preprints in NeurIPS, ICML, ICLR, or CVPR strongly favored
- Recommendation letters
- Three academic reference letters commenting on research capability
How much will it cost? How much funding is available?
- Financial support / stipend
- Full graduate research assistantship: CAD $28,000–$35,000/year guaranteed funding package
- Application fee
- CAD $120
- Tuition / joining costs
- Covered through doctoral fee remission and departmental research fellowships
Dates and verification
- Application deadline
- December 1, 2026 (Fall 2027 admissions cycle)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official University of Montreal documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-15 · Editorial standards · Report an issue