Program overview
Admission Requirements
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Last updated on 2025-05-06

Program overview

Program Overview

The Bachelor of Science in Data Science is a cutting-edge program offered by the Faculty of Science at the University of Manitoba. This program is designed to equip students with the essential skills needed to thrive in the rapidly evolving field of data science. By integrating mathematics, statistics, and computer science, students will learn to collect, analyze, visualize, and interpret data effectively. The program addresses the increasing demand for skilled data scientists who can transform data into actionable insights, supporting both local and global industries in making informed decisions.

Program Structure

The Bachelor of Science in Data Science program is structured to be completed in a 4-year timeframe, assuming a full course load. Here are some key features of the program structure:

  • Expected duration: 4 years
  • Flexible study options, allowing for part-time or full-time enrollment
  • Opportunity to apply for a Co-op program, providing valuable industry experience
  • Extensive study in the chosen field with the option to select electives from other disciplines

This program is designed to provide a comprehensive education while allowing students to explore various subjects of interest. The Co-op option enhances the learning experience by integrating academic education with practical work experience, preparing students for their future careers.

Featured Experiences

  • Co-op option available, allowing students to gain hands-on experience in the industry.
  • Experiential learning through the Faculty of Science Co-operative Education program.
  • Integration of academic education with relevant, supervised, and paid work experience.
  • Opportunity to complete three or four work terms during the program.
  • Work terms typically last four months, starting in January, May, or September.

Career Options

Graduates of the Bachelor of Science in Data Science program can pursue a variety of career paths in Canada. Here are some potential job options:

  • Data Scientist: Analyze complex data sets to inform business decisions and strategies.
  • Data Analyst: Interpret data and provide actionable insights to improve organizational performance.
  • Business Intelligence Analyst: Utilize data analysis tools to help organizations make data-driven decisions.
  • Machine Learning Engineer: Develop algorithms and models that enable machines to learn from data.
  • Statistician: Apply statistical methods to collect, analyze, and interpret data for various industries.

These roles highlight the diverse opportunities available to graduates, reflecting the growing demand for data science skills across multiple sectors.

 

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

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