Explore the pillars of data science: math, statistics, computer science and domain knowledge. Gain the skills and knowledge to use large data sets to support evidence-based decision making. Through concentrations, specialized courses and work-integrated learning, be ready for leadership and collabor
DurationExplore the pillars of data science: math, statistics, computer science and domain knowledge. Gain the skills and knowledge to use large data sets to support evidence-based decision making. Through concentrations, specialized courses and work-integrated learning, be ready for leadership and collaboration in professional practice.
Program highlights
Career possibilities
Mount Royal University is located in the traditional territories of the Niitsitapi (Blackfoot) and the people of the Treaty 7 region in Southern Alberta, which includes the Siksika, the Piikani, the Kainai, the Tsuut’ina, and the Iyarhe Nakoda. The City of Calgary is also home to the Métis Nation.
With a focus on artificial intelligence (ai), computer science and practical statistics, project-based courses and experiential learning, carleton’s new bachelor of data science (bds) will prepare you for a rewarding career.
The bachelor of science in data sciences and analytics program is a collaboration between the faculty of mathematics and science and the goodman school of business. It is one of only two bsc programs in canada combining financial analytics with computational data science.
We are offering a b. Sc. Or b. A. 4-year statistics degree, data science stream. This degree will involve a mix of statistics, mathematics and applied computer science courses.
Why choose Data Science? In the world around us, people look for patterns and stories in data. In data science, we explore methods from statistics and computing in combination what we know from other subject areas to better understand our data and how to interpret our findings.
Harnessing data is crucial as technology generates vast amounts of information – otherwise known as big data. Master the art of extracting meaningful insights from information by developing skills in mathematics, statistics, and computer science.
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