Last updated on 2025-05-30
Program Overview
The Bachelor of Science in Data Sciences and Analytics program is a unique collaboration between the Faculty of Mathematics and Science and the Goodman School of Business. This program stands out as one of only two BSc programs in Canada that effectively combines financial analytics with computational data science. It aims to bridge the gap between computational data sciences and business analytics, producing graduates who possess a robust understanding of programming for big data, data infrastructures, and business intelligence.
Program Structure
The Bachelor of Science in Data Sciences and Analytics program is designed to provide students with a comprehensive education in both computational data sciences and business analytics. The program offers the following features:
- Program Length: Typically spans over four years.
- Options: Students can choose between two concentrations: Financial Analytics or Computational Data Sciences.
- Co-op Option: Available for students seeking practical experience.
- Experiential Learning: Opportunities for hands-on learning through projects and collaborations.
- International Opportunities: Students may have the chance to engage in global learning experiences.
Featured Experiences
The Bachelor of Science in Data Sciences and Analytics program offers several unique features that enhance the learning experience:
- Co-op Programs: Provides students with real-world experience in the field.
- Experiential Learning: Engages students in practical applications of their studies.
- Specialization Areas: Students can specialize in areas such as machine learning, artificial intelligence, and financial risk management.
- Collaboration with Business: The program is designed to meet the needs of the business sector, ensuring graduates are job-ready.
Career Options
Graduates of the Bachelor of Science in Data Sciences and Analytics program can pursue a variety of career paths in Canada, including:
- Data Scientist/Engineer: Responsible for analyzing and interpreting complex data to help organizations make informed decisions.
- Big Data Solution Architect: Designs and implements big data solutions to manage and analyze large datasets.
- Financial (Risk) Analyst: Evaluates financial data to assess risks and provide insights for investment decisions.
- Data Analytics Consultant: Advises organizations on how to leverage data analytics for business improvement.
- Predictive Analytics Modeller: Develops models to predict future trends based on historical data.
DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.
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