Program overview
Admission Requirements
Intakes

Last updated on 2025-07-14

Program overview

Program Overview

The Information Technology: Business and Advanced Analytics program is designed to equip students with the skills necessary to thrive in the evolving business landscape driven by data. In today's competitive global economy, making informed decisions based on data is essential. This program prepares graduates to conduct advanced analyses, interpret insights, and recommend actionable solutions, effectively bridging the gap between business teams and data analysts. Graduates will be adept at establishing business requirements and formulating data-driven solutions that enhance decision-making and competitive advantage. The curriculum covers essential areas such as business processes, statistics, data programming, predictive analytics, and machine learning, ensuring that students are well-prepared for the demands of the industry.

Program Structure

The Information Technology: Business and Advanced Analytics program is structured to be completed within a two-year timeframe through full-time study. The program is delivered in a blended format, combining online and in-person learning experiences. Key features of the program structure include:

  • Comprehensive curriculum covering essential topics in business analytics and data science.
  • Hands-on learning opportunities through practical applications and projects.
  • Access to advanced technology and tools relevant to the field.
  • Collaboration with industry partners to enhance real-world learning experiences.
  • Capstone project that integrates learning and applies it to real-world business problems.

Students are encouraged to engage in various experiential learning opportunities, which may include co-op placements or internships, allowing them to gain valuable industry experience while studying.

Featured Experiences

  • Capstone Project: A culminating project where students apply their learning to solve real-world business problems using data analytics tools.
  • Hands-on learning: Students engage in practical applications of data analysis and business strategy throughout the program.
  • Collaboration with industry partners: Opportunities to work with businesses to gain insights and experience in the field.
  • Access to advanced analytics tools and software, ensuring students are familiar with industry standards.
  • Networking opportunities with professionals in the field through workshops and seminars.

Career Options

Graduates of the Information Technology: Business and Advanced Analytics program have a wide range of career opportunities available to them in Canada. Potential job roles include:

  • Business Analyst: Responsible for analyzing business needs and providing data-driven recommendations to improve processes and systems.
  • Data Scientist: Utilizes statistical methods and machine learning techniques to analyze complex data sets and derive actionable insights.
  • Business Systems Specialist: Focuses on optimizing business processes and systems through data analysis and technology solutions.
  • Data Engineer: Designs and builds systems for collecting, storing, and analyzing data, ensuring data quality and accessibility.
  • Consultant: Provides expert advice to organizations on data strategy, analytics, and business intelligence solutions.

These roles are essential in various industries, as organizations increasingly rely on data to inform their business decisions and strategies.

 

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

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