Program overview
Admission Requirements
Intakes

Last updated on 2026-10-01

Program overview

Program overview

Harness the power of data and AI to drive business innovation. The Business Analytics and Artificial Intelligence program combines business strategy with cutting-edge technologies to prepare students for the future of data-driven decision-making. Students will gain practical experience in analytics, artificial intelligence, and strategic decision-making while developing the technical and business skills that employers value. This program equips graduates to pursue careers across a wide range of industries, using data and AI to drive innovation, improve operations, and shape strategic decisions.

Program structure

The Business Analytics and Artificial Intelligence program is designed to be completed in four years of full-time study. The program offers a variety of experiential learning opportunities, including:

  • Capstone projects
  • Co-op placements
  • Internships
  • Research studies

Students will engage in a curriculum that blends business fundamentals with analytics, machine learning, data visualization, and AI applications. This hands-on approach allows students to apply their knowledge through real-world projects and case studies, working alongside expert faculty and industry partners. The program is delivered in-class at Ontario Tech University, North Oshawa, with a start date in September.

Featured Experiences

  • Direct-entry co-op program, allowing students to apply for co-op positions directly on their Ontario Universities Application Centre (OUAC) application.
  • Full-time, paid co-op positions that provide students with a steady income stream throughout their studies.
  • 100% of students participate in experiential learning opportunities.
  • Access to over 350 companies providing paid internships and capstone opportunities.
  • Hands-on experience using industry-standard tools and technologies.

Career Options

  • Accountant: Manage financial records and ensure compliance with regulations.
  • Business analytics consultant: Help organizations make data-driven decisions by analyzing business data.
  • Financial analyst: Evaluate financial data to guide investment decisions and financial planning.
  • Marketing coordinator: Develop and implement marketing strategies to promote products and services.
  • AI ethics specialist: Address ethical considerations in the development and implementation of AI technologies.

 

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

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