Data Science (BA/BSc)

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Bachelor of Arts (BA), Bachelor of Science (BSc)
Program type
Primary campus
Sir George Williams (SGW)
3 to 4 years
Start term
Fall, Winter

Why study Data Science?

In today’s economy, businesses and institutions rely on data analysis to reach their goals. Data collection is made possible by technological advancements, but insightful data analysis requires human expertise. That’s where a degree in data science comes in. Data analysis is an essential part of working in almost every field today. For this reason, data scientists are in high demand across economic sectors. Students in the Data Science program will develop a broad array of practical skills including:

  • Data science applications in mathematics and statistics, computer science, artificial intelligence, ethics and communication.

  • Both theoretical understanding and hands-on experience

Program highlights

Provides exposure to cutting-edge disciplines such as machine learning, neural networks and other artificial intelligence topics.

Program structure

A Bachelor of Arts or Science degree takes a minimum of three or four years (90 – 120 credits) of full-time study, depending on your academic background.

The core of the Data Science program integrates two main components. The first offers foundational training in mathematics and statistics along with more hands-on exposure to data science applications through data science labs and machine learning courses. The second component provides exposure to traditional computer science topics such as programming, databases and algorithms, plus the opportunity to learn cutting-edge topics in artificial intelligence. The curriculum also includes a course in technical writing and one about social and ethical dimensions of technology, which provide the opportunity to develop soft skills that are useful in the area of data science.

We offer an honours program to computer science students with high academic standing. You may apply to the honours program once you have completed 30 credits.


United States students: A U.S. Federal Student Aid-eligible version of this program is offered. This version meets all U.S. regulations (such as no co-operative education or e-courses) for eligible programs.

Admission criteria

Minimum cut-off averages should be used as indicators. The cut-off data may change depending on the applicant pool. Applicants who meet the stated minimum requirements are not guaranteed admission to these programs.

Application deadlines

We consider complete applications year round and give priority to applicants who apply by official deadlines.

Fall term


March 1 is the deadline to apply for fall term entry. International students are encouraged to apply by February 1 to allow sufficient time for CAQ and study permit application processing.

Late applications will be considered if places are still available. Please check program availability for the term, before you start your application.

Winter term


November 1 is the deadline to apply for winter term entry. International students are encouraged to apply by September 1 to allow sufficient time for CAQ and study permit application processing.

Not all programs are available for winter term entry. Please check program availability for the term, before you start your application.

We reserve the right to close admission to a program at any time after the official deadline without prior notice.

After your degree

The program targets students expected to directly join the workforce after completion of the undergraduate degree. The program will prepare them to hold a technical position related to the production and analysis of data by providing them with a knowledge base in probability and statistics, data management, and computer programming. The students will have an opportunity to be exposed to various subdisciplines such as artificial intelligence, pure mathematics, and communication.

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