MSc in AI
(Data Engineering)

Applied Intelligence. Real Transformation.

Duration

4 Terms – 16 Months 

Delivery

In-person

Location

Toronto

Credits

42 credits

Start Dates

September 2026

Building the Data Foundations of the Intelligent Economy

The Master of Science in Artificial Intelligence with Data Engineering Specialization at IBU empowers you to shape the data systems that power AI and intelligent decision-making. This AI and data science master’s program bridges technical engineering and analytics with AI strategy. You learn to build secure, scalable data architectures, automate analytical workflows, and integrate machine learning models. The approach prepares you to design, manage, and optimize data ecosystems.

Leverage these skills to turn complex data into actionable intelligence and AI solutions that drive innovation in every sector—from finance and healthcare to logistics and technology.

Why Choose This Specialization

  • Data-Centric AI Focus:Develop end-to-end expertise in data architecture, pipelines, and machine learning integration.
  • Applied and Technical: Gain hands-on experience with advanced tools for data analysis, visualization, and AI deployment.
  • Future-Ready Skills: Master cloud computing, big data engineering, and ethical data governance in this data architecture graduate degree in Ontario.
  • Personalized Mentorship: Benefit from direct faculty engagement and industry-aligned guidance in small class settings.

Have Questions?

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Simply choose a time that works for you. You’ll receive a Microsoft Teams link by email. 

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Curriculum Timeline

FOUNDATIONS
Semester 1
  • Fundamentals of Artificial Intelligence (3 credits)
  • Machine Learning and Deep Learning (3 credits)
  • Data Science and Data Mining Techniques (3 credits)
  • Human-Computer Interaction Design (3 credits)
FOUNDATIONS
Semester 2
  • Applications of Artificial Intelligence in Services (3 credits)
  • Data Engineering and Architecture (3 credits)
  • Engineering for Data Analysis (3 credits)
  • Advanced Engineering for Data Analysis (3 credits)
SPECIALIZATION
Semester 3

Choose any 2 of the following courses:

  • Information Systems and Digital Transformation (3 credits)
  • Project Management: Social-Technical Approach (3 credits)
  • Advanced Business Analytics (3 credits)

Required Courses:

  • Artificial Intelligence and Cybersecurity (3 credits)
  • Applied Research Methods (3 credits)
CAPSTONE PROJECT
Semester 4
  • Capstone Project: Artificial Intelligence and Industrial Innovation (6 credits)

Learning Outcomes

You will be able to:
Develop, select, and deploydata engineering solutions for organizations across diverse operational environments
Design and managesecure, scalable data architectures that support AI systems
Integratedata pipelines and analytical frameworks for real-time decision-making
Apply advanced engineering methods to deploy AI solutions effectively
Assess the applications of AI and data engineering tools within complex organizational contexts
Ensure ethical, compliant, and responsible data practices across all deployment environments

Who This Specialization Is Designed For

This program is intended for students who are interested in gaining applied expertise in artificial intelligence and data engineering. It is well suited for those who want to design, evaluate, and deploy AI-driven and data engineering solutions for organizations, institutions, and diverse operational environments.

The program is also well suited for students who seek to understand how data engineering underpins effective AI applications, while developing a critical awareness of the opportunities and limitations of these technologies in real-world contexts.

Applicants typically hold an undergraduate degree in a technical discipline. See the Admission Requirements section below for full entry criteria.

Career Pathways

Admission requirements

Tuition and fees

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This institution has been granted the consent for Master of Science in Artificial Intelligence in Industrial Innovation and Data Engineering by the Minister of Colleges, Universities, Research Excellence and Security to offer these programs for a five-year term starting March 5, 2026.

Prospective students are responsible for satisfying themselves that these programs and the degree will be appropriate to their needs (e.g., acceptable to potential employers, professional licensing bodies or other educational institutions).