Carleton Centre for Advanced Studies in Visualization and Data Analytics (C-ASVDA) Research Fellowship
Pre-doctoral and doctoral research fellowship focused on immersive visual analytics, explainable artificial intelligence (XAI), and big data modeling in partnership with national science institutions.
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 computer science, statistics, or data science with first-class honors.
- English language proficiency
- Academic IELTS 7.0 or equivalent.
- Standardized testing (GRE/GMAT)
- Optional.
- Thesis / Research statement
- Peer-reviewed research in visualization, deep learning, or high-dimensional data analytics.
- Recommendation letters
- Two academic or research laboratory recommendation letters.
How much will it cost? How much funding is available?
- Financial support / stipend
- Annual research stipend of CAD $26,000 plus travel allowances for international conference dissemination
- Application fee
- No application fee for post-admission fellowship
- Tuition / joining costs
- Full tuition fellowship offset provided.
Dates and verification
- Application deadline
- March 1, 2027 (Annual research fellowship award review)
- Last source review
- 2026-10-14
Important verification note
Facts reflect official Carleton University documentation reviewed 2026-10-14. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-14 · Editorial standards · Report an issue