Data Science (BA/BSc)

Type

Master's programs

Attendance

On-Campus

Posted on

Application Deadline

Expired

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 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.

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.

More Information

Type

Master's programs

Attendance

On-Campus

Posted on

Application Deadline

Expired

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Montreal, QC

H3G 1M8 Montréal , Canada