Program overview
Admission Requirements
Intakes

Last updated on 2025-05-30

Program overview

Program Overview

The Bachelor of Science in Data Sciences and Analytics program at Brock University 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 integrates financial analytics with computational data science. It aims to produce well-rounded graduates equipped with essential skills in programming for big data, data infrastructures, and business analytics, enabling them to effectively communicate business intelligence and support strategic decision-making.

Program Structure

The Bachelor of Science in Data Sciences and Analytics program is designed to provide students with a comprehensive education in both data science and business analytics. The program offers the following:

  • Program Length: Typically spans over four years.
  • Options for specialization in either Financial Analytics or Computational Sciences.
  • Students can choose between Honours or Co-op options.
  • Experiential learning opportunities to enhance practical skills.
  • International opportunities for a global perspective.

Students will gain advanced knowledge in areas such as machine learning, artificial intelligence, and financial risk management, preparing them for a dynamic career in data analytics.

Featured Experiences

The Bachelor of Science in Data Sciences and Analytics program offers several unique features that enhance the learning experience:

  • Co-op Opportunities: Students can participate in co-op placements to gain real-world experience.
  • Experiential Learning: Hands-on projects and case studies to apply theoretical knowledge.
  • International Opportunities: Programs that allow students to study abroad or engage in global projects.
  • Specialization Options: Tailored pathways in Financial Analytics or Computational Sciences.

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.

These roles highlight the diverse opportunities available to graduates, emphasizing the program's focus on equipping students with the necessary skills for success in the data-driven job market.

 

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

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