OpenFieldMaster of Science (M.Sc.) in Applied Modelling and Quantitative Methods (Big Data & Machine Learning)
Interdisciplinary quantitative master's degree combining high-performance computing, mathematical optimization, and machine learning models applied to bioinformatics, financial systems, or sensor networks.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Minimum 77% (B+) cumulative average in quantitative undergraduate discipline
- English language proficiency
- IELTS 6.5 (6.0 minimum each section) or TOEFL 86
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Demonstrated foundational coursework and research interest in computer-science, mathematics
- Recommendation letters
- Two academic recommendation letters
How much will it cost? How much funding is available?
- Financial support / stipend
- CAD $14,000/year teaching assistantships + merit research awards
- Application fee
- CAD $125
- Tuition / joining costs
- CAD $21,500/year
Dates and verification
- Application deadline
- February 1, 2027 (Fall 2027 entry)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Trent University 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