Bachelor of Data science (BDS)
Ottawa, Canada
DURATION
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
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STUDY FORMAT
On-Campus
Introduction
Bachelor of Data Science
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.
Concentrations
- Artificial Intelligence (AI): The concentration in AI allows you to learn more about computer science theory and AI.
- Statistics: For students looking to increase their knowledge of inferential statistics and the theory behind it.
Prospective students are advised that the program is still subject to formal approvals.
Scholarships and Funding
Several scholarship options are available. Please check the university website for more information.
Career Opportunities
Explore your passions, refine new skills and discover the career that’s right for you.
Data Science graduates will find careers across various fields such as information technology, retail, real estate, financial services, and media and communications. Graduates could be hired in positions in any field with evidence-based or data-driven decision-making. Some Honours students will go on to the master’s programs: Computer Science; Data Science, Analytics, and Artificial Intelligence; or Statistics.
- AI Machine Learning
- Artificial Intelligence
- Big Data Analytics
- Business
- Business Intelligence Engineer
- Communications
- Data Analysts
- Data Analytics
- Data Architect
- Data Engineer
- Data Ethics
- Data Scientist
- Machine Learning Engineer
- Media
- Statistics