Program overview
Admission Requirements
Intakes

Last updated on 2026-09-08

Program overview

Program overview

The Bachelor of Science with Honors in Data Science, specifically the Statistics Option, is designed to equip students with a robust understanding of data analysis and statistical methodologies. This program emphasizes the application of statistical techniques to real-world problems, preparing graduates for a variety of roles in the data-driven landscape. Students will engage in hands-on learning experiences that foster critical thinking and analytical skills, essential for success in the field of data science.

Program structure

The Bachelor of Science with Honors in Data Science - Statistics Option is structured to provide a comprehensive education over a four-year period. The program is designed to ensure that students gain both theoretical knowledge and practical skills through various learning modalities. Key features of the program structure include:

  • Program Length: Four years of full-time study.
  • Hands-on learning experiences through projects and practical applications.
  • Opportunities for co-op placements to gain real-world experience.
  • Access to state-of-the-art facilities and resources.
  • Flexible course options to tailor the educational experience to individual interests.

Featured Experiences

  • Co-op opportunities that allow students to gain valuable work experience in the field.
  • Access to labs equipped with the latest technology for data analysis.
  • Field experiences that provide practical applications of statistical methods.
  • Joint partner programs with industry leaders to enhance learning and networking.
  • Research projects that encourage collaboration with faculty and peers.

Career Options

  • Data Analyst: Analyze data sets to identify trends and insights that inform business decisions.
  • Statistician: Apply statistical theories and methods to collect, analyze, and interpret quantitative data.
  • Data Scientist: Utilize advanced analytical techniques and machine learning to solve complex problems.
  • Business Intelligence Analyst: Develop strategies to improve business operations through data-driven insights.
  • Quantitative Researcher: Conduct research and analysis to support financial and investment decisions.

 

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

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