MSc in AI
(Data Engineering)
Duration
Delivery
Location
Toronto
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?
Speak with a Program Advisor
Simply choose a time that works for you. You’ll receive a Microsoft Teams link by email.Â
This is your moment to start something bigger.
Curriculum Timeline
- 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)
- 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)
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: Artificial Intelligence and Industrial Innovation (6 credits)
Learning Outcomes
Who This Specialization Is Designed For
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
Data Engineer
Machine Learning Engineer
AI Solutions Architect
Business Intelligence Manager
Big Data Specialist
Ready to Join IBU?
Ready to Join IBU?
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).
