| | Applied Modelling and Quantitative Methods: Big Data Analytics (MSc Course) | | |
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| School | Trent University - Graduate Studies | | |
| Location | Peterborough, ON, Canada | | |
| School Type | Graduate School | | |
| School Size | Full-time Undergraduate: 1,235
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| Degree | Master | | |
| Honours | | | |
| Co-op | | | |
| Length | 16 Month(s) | | |
| Entry Grade (%)* | | | |
| Prerequisites | | | |
| Prerequisites Notes |
Eligibility Requirements
- Honours bachelor degree (a four-year undergraduate bachelor's degree) in a traditional discipline
- Minimum B+ (77%) or equivalent in the last two years of full-time study, or last ten full academic credits
- A university course in differential and integral calculus, and one in probability and statistics or equivalent
- Some familiarity with linear algebra, and capabilities in programming at an elementary level in at least one computational language
- A course in either differential equations or advanced statistics is required, depending on whether the student's area of research will be mathematics or statistics based
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| Cost |
Cost shown is for the 2024-2025 academic year. | | |
| Scholarships | | | |
| Description | Trent is one of the first universities in Canada to fill the training gap for professionals in data science. This stream equips you with the tools and techniques required to analyze complex data sets, with emphasis on practical skills in visualization, data mining, cloud-based approaches and parallel programming skills.
Complete this skills-boosting program in 16 months and prepare for in-demand careers, including chief data officer, data scientist, data solutions architect, business manager and business analyst. | | |
| Next Steps | | | |