MSc in Applied AI
(Industrial Innovation Specialization)

A graduate specialization in AI for automation, robotics, and intelligent systems in industry and services.

Duration

4 Terms – 16 Months

Delivery

In-person

Location

Toronto

Credits

42 credits

Start Dates

September 2026

Transforming Industries through Intelligent Systems

The MSc in Applied AI with Industrial Innovation Specialization prepares graduates to apply AI across production, logistics, and services. It builds strong technical skills in AI, automation, robotics, and manufacturing through hands-on projects each semester.

Students learn to design and deploy intelligent systems that improve efficiency and sustainability, while gaining business insight and ethical awareness. Delivered in a mentorship-driven, small-cohort setting, the program culminates in a capstone project solving an industrial AI challenge.

Why Choose This Specialization

  • AI for Industrial Transformation: Master how artificial intelligence is reshaping production, logistics, and operations for global competitiveness.
  • Hands-On Learning: Tackle industry-based projects and a capstone focused on real artificial intelligence manufacturing and automation challenges.
  • Innovation with Purpose: Develop the skills to balance technological advancement with environmental and ethical considerations.
  • Personalized Mentorship: Learn in small, interactive classes guided by IBU’s expert faculty and industry mentors.

Have Questions?

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Curriculum Timeline

Mastering 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)
Applying to Industry
Semester 2
  • Applications of Artificial Intelligence in Services (3 credits)
  • Emerging Artificial Intelligence Industries and Ventures (3 credits)
  • Industrial Automation, Manufacturing Innovation, and Sustainability (3 credits)
  • Robotics for Service Innovation (3 credits)
Driving Change
Semester 3

Choose 2 of the following 3:

  • Information Systems and Digital Transformation
  • Project Management: Social-Technical Approach
  • Advanced Business Analytics
Capstone Impact
Semester 4
  • Capstone Project: Artificial Intelligence and Industrial Innovation (6 credits)

Learning Outcomes

Upon completing this specialization, you will be able to:

Develop and deploy automation solutions for applications across industrial and business sectors

Integrate robotics and intelligent systems to optimize industrial workflows

Apply ethical and sustainable design principles to AI and technological innovation.

Assess AI applications for service enhancement, operational innovation, and process improvement

Apply ethical and sustainable design principles to AI-driven technology deployment

Evaluate the benefits and limitations of AI within complex industrial and manufacturing environments

Who This Specialization Is Designed For

This program is for students who want to apply AI in hands-on industrial and business settings. It’s a strong fit for those interested in automation, innovation, and improving system and service performance. You’ll build the skills to develop and deploy AI solutions, while learning to think critically about their impact and limitations in practice.

Applicants typically hold an undergraduate degree in a STEM or business-related field. See the Admission Requirements section below for full criteria.

Career Pathways

Admission requirements

Tuition and fees

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Ready to Join IBU?

Discover Programs and Support to Achieve Your Goals

Ready to Join IBU?

Discover Programs and Support to Achieve Your Goals

This institution has been granted the consent for Master of Science in Applied 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).