| | Data Science (BDS) | | |
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| School | Carleton University | | |
| Location | Ottawa, ON, Canada | | |
| School Type | University | | |
| School Size | Full-time Undergraduate: 20,049
Full-time Graduate: 3,905 | | |
| Degree | Bachelor | | |
| Honours | | | |
| Co-op | | | |
| Length | 4 Year(s) | | |
| Entry Grade (%)* | 85% to 88% | | |
| Prerequisites | - Grade12 Advanced Functions
- Grade12 Calculus
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| Prerequisites Notes | | | |
| Cost | | | |
| Scholarships | | | |
| Description | *Prospective students are advised that the program is still subject to formal approvals.
Data Science is at the intersection of three domains: computer science, mathematics and statistics, and application (e.g. business, social science, health). The insights of data and analytics influence our everyday lives, from streaming service algorithms to the life altering decisions made by science, industry and government. Data Science combines the practical application of mathematics, statistics, computer science and analytics. It is the study of how to extract value from captured or simulated data to infer knowledge from patterns. Data scientists form questions, design the collection and storage of data, write reliable and fast code for wrangling datasets, utilize inferential statistics, machine learning and AI to analyze the data, and present the translated results in a responsible, reproducible and actionable way.
In our data-driven world, there is a clear need for individuals from this field who can think analytically, creatively and leverage AI and big data to aid in decision-making. Learn to synthesize and apply statistical and computer science skillsets to ethically extract knowledge and insights from data. The Data Science program has a basis in data wrangling, inferential statistics, analytics, AI, big data and data ethics. | | |
| Next Steps | Request Info | | |