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Master of Management in Applied AI and Data-Driven Decision-Making

 

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Future-ready leadership for the AI era

Learn to lead with data, drive innovation and make an impact–all while working full-time.

The Master of Management in Applied AI and Data-Driven Decision-Making is a 20-month, part-time graduate program designed for experienced professionals looking to lead AI integration.

Delivered through a flexible blend of weekend residencies at the Ron Joyce Centre in Burlington, Ontario and online learning, the program equips learners with the skills to lead data-driven decision-making, manage analytics teams and apply AI in real-world business contexts.

With a focus on leadership, communication and applied learning, this program is ideal for professionals looking to upskill without pausing their careers.

Start date

January 2026

Length of study

20-months, delivered part-time over five (5) academic terms

Work experience

Minimum four (4) years of experience required

Program costs

Tuition is $40,000 for domestic students

Curriculum

Explore the curriculum and flexible delivery format for this 20-month, part-time program. Created for experienced professionals looking to lead AI integration.

Admissions

Our admissions process takes a well-rounded view of each candidate, and every application is carefully reviewed to recognize your unique strengths and potential.

Finances

Explore tuition details for the Master of Management in Applied AI and Data-Driven Decision-Making program, including entrance scholarships, and financial aid resources.

Ask a Question

Got a question or need details? Feel free to contact us — our team is here to help and will respond promptly.

A flexible learning experience

The curriculum is built around 10 core courses that cover topics such as predictive analytics, AI in business decision-making, project management, ethics and regulation and value creation. Each course includes experiential components like case studies, simulations and group projects. The program is delivered through:

  • Three weekend residencies per term
  • Weekly synchronous online classes
  • Asynchronous learning modules

This structure allows learners to balance work, life, and study while building a strong professional network.

 

Designed for working professionals with no GMAT or GRE required

We understand the demands of working professionals. That’s why the Master of Management in Applied AI and Data-Driven Decision-Making does not require a GMAT or GRE for admission. Your experience and motivation matter more than a standardized test score.

A focus on leadership, communication and applied AI

This program goes beyond technical skills — it helps you become a confident, strategic leader in the age of AI. You’ll learn how to lead analytics and AI-driven teams, communicate complex insights clearly to senior decision-makers and turn data into action. It’s not just about knowing the tools — it’s about using them to drive real business results.

Flexible in-person learning with three weekend residencies per term at the Ron Joyce Centre

Our program is designed with your busy schedule in mind. Each term includes three immersive, in-person weekend residencies held at the Ron Joyce Centre in Burlington. These sessions provide valuable face-to-face learning and networking opportunities—without interrupting your full-time work commitments.

No coding experience needed

Whether you come from a technical or non-technical background, you belong here. This program requires no prior coding experience. Our curriculum is built to support learners from all disciplines, equipping you with the practical tools and knowledge to lead in an AI-driven world.

 

 

Program schedule

 

For this program, each four month term consists of two courses delivered through weekly synchronous online classes and asynchronous learning modules plus weekend residencies. Learn more about the curriculum here.

A timeline showing the Master of Management in Applied AI and Data-Driven Decision-Making (Part-Time) program terms: Academic Term 1 (Winter 2026), Academic Term 2 (Spring), Academic Term 3 (Fall), Academic Term 4 (Winter), and Academic Term 5 (Spring).

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Download our brochure

Learn more about the program structure and our other program offerings as you explore your options.