Among the best comprehensive universities in Canada, Carleton University is actively involved in data sciences, with over 170 researchers from five faculties and 26 university departments, schools and institutes (including cross-appointments) actively engaged in immensely varied research, with applications as far-ranging as criminal profiling, seismic modelling, statistical analysis, business intelligence, and linguistic studies.
Undergraduate
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.
Graduate
Carleton’s new collaborative master’s in Data Science is geared at graduate students and high-tech professionals who are interested in understanding how to analyze and use ‘big data’ sets collected by governments, industry, NGOs.
These are for purposes such as generating personal recommendations for online shopping, improving the efficiency of health care delivery or predicting national security threats.
The programs offer opportunities to undertake groundbreaking research in the field of data science and analytics from several directions such as statistics, AI methods, and software engineering.
Our DSAAI master’s programs are recognized by the Vector Institute as delivering a curriculum that equips its graduates with the skills and competencies sought by industry.