Program overview
Admission Requirements
Intakes

Last updated on 2025-06-20

Program overview

Program Overview

The Artificial Intelligence and Data Analytics Post-Baccalaureate Certificate is designed to equip students with essential skills to excel in a data-driven world. This program focuses on applying creative problem-solving techniques to extract insights from data, identify trends, and predict outcomes, which are crucial for decision-making across various industries. With a blend of theoretical knowledge and practical application, students will be prepared to tackle real-world challenges in the realm of artificial intelligence and data analytics.

Program Structure

The Artificial Intelligence and Data Analytics Post-Baccalaureate Certificate program is structured to be completed in 1 year and is offered on a full-time basis. The program includes:

  • Co-op Specialization option for networking and practical experience.
  • Work-integrated Learning (WIL) component, which includes a 100-hour work placement or equivalent project in Term 2.
  • A required 420-hour paid work term in Term 3 for students in the Co-op option.
  • Weekly seminar discussions to connect classroom learning with practical experiences.

Most courses are conducted in-person at RDP's Main campus, with some available online. Students are encouraged to prepare for potential costs associated with work placements, such as travel and suitable attire.

Featured Experiences

  • Co-op Specialization: Provides structured work experience to apply knowledge in real-world settings.
  • Work-integrated Learning: Includes a 100-hour work placement or project in Term 2 and a 420-hour paid work term in Term 3.
  • Weekly Seminars: Facilitate discussions that link classroom learning with practical applications.
  • Networking Opportunities: Through the Co-op Specialization, students can build professional connections in the industry.

Career Options

Graduates of the Artificial Intelligence and Data Analytics Post-Baccalaureate Certificate can pursue various career paths in Canada, including:

  • Data Analyst: Analyze data sets to identify trends and provide actionable insights for businesses.
  • Machine Learning Analyst: Develop algorithms and models to improve machine learning processes.
  • AI Technologist: Design and implement AI solutions to enhance operational efficiency.
  • Business Intelligence Analyst: Utilize data analysis to inform business strategies and decision-making.
  • Data Consultant: Advise organizations on data management and analytics strategies.
  • Marketing Analyst: Analyze market trends and consumer behavior to optimize marketing strategies.
  • GIS Technician: Work with geographic information systems to analyze spatial data.
  • Logistics Analyst: Optimize supply chain processes through data analysis and forecasting.

 

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

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