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

Program overview

Program Overview

Carleton University offers a dynamic and innovative 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, where the ability to analyze and interpret data is increasingly vital. Through project-based courses and experiential learning, students will gain hands-on experience that prepares them for a rewarding career in various fields.

Program Structure

The Bachelor of Data Science program at Carleton University is structured to provide a comprehensive education in data science, ensuring students develop a robust skill set. 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 graduates are well-prepared for the demands of the workforce, with a strong foundation in both theoretical and practical aspects of data science.

Featured Experiences

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

  • Co-op Opportunities: Gain real-world experience and develop key employability skills through co-op work terms.
  • Strong Professional Network: Benefit from Carleton's connections in Ottawa's tech sector, including partnerships with industry leaders.
  • 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 top companies and organizations.

These experiences not only enrich the academic journey but also provide students with valuable networking opportunities and insights into the industry.

Career Options

Graduates of the Bachelor of Data Science program can pursue a variety of career paths across multiple sectors. Here are some potential job roles:

  • 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 and models that enable machines to learn from data.
  • 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 technology-driven landscape.

 

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

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