Program overview
Admission Requirements
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Last updated on 2025-05-08

Program overview

Program Overview

Carleton University offers a dynamic Bachelor of Data Science (BDS) program that focuses on the intersection of artificial intelligence (AI), computer science, and practical statistics. This program is designed to equip students with the necessary skills to thrive in a data-driven world, preparing them for rewarding careers in various fields. With an emphasis on project-based courses and experiential learning, students will gain hands-on experience that is crucial for their future professional endeavors.

Program Structure

The Bachelor of Data Science program is structured to provide a comprehensive education in data science, ensuring students are well-prepared for the workforce. Key details of the program include:

  • Program Length: Typically completed in four years.
  • Credits: The program requires a total of 120 credits for graduation.
  • Co-op Option: Students have the opportunity to participate in a co-op program, allowing them to gain valuable work experience while studying.
  • Concentrations: Students can choose to specialize in areas such as Artificial Intelligence or Statistics.

This structure ensures that students not only learn theoretical concepts but also apply them in real-world scenarios, enhancing their employability upon graduation.

Featured Experiences

The Bachelor of Data Science program at Carleton University offers several unique experiences that enhance learning and professional development:

  • Co-op Opportunities: Gain practical experience in the field through co-op placements.
  • Strong Professional Network: Benefit from connections with Ottawa’s tech sector, including partnerships with companies like Shopify, IBM, and Statistics Canada.
  • Data Day: Participate in an annual event showcasing research and developments in data science.
  • Institute for Data Science: Engage with an industrial advisory committee that includes members from leading tech companies.

These experiences are designed to provide students with a competitive edge in the job market.

Career Options

Graduates of the Bachelor of Data Science program can pursue a variety of career paths across multiple industries. 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 business performance.
  • Machine Learning Engineer: Develop algorithms that enable machines to learn from data and make predictions.
  • Business Intelligence Engineer: Design and implement systems that help organizations make data-driven decisions.
  • Data Engineer: Build and maintain the architecture for data generation and processing.

These roles highlight the diverse opportunities available to graduates, emphasizing the importance of data science in today’s economy.

 

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

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