Graduate Certificate in Data Science, Applied AI and Organizational Leadership
Lead confidently in a world shaped by data and AI
This university-accredited academic Graduate Certificate in Data Science, Applied AI and Organizational Leadership is designed for professionals who want to drive innovation, improve decision-making and lead meaningful change within their organizations. The program focuses on real-world application, helping you build a strong foundation in both the technical and strategic aspects of data and AI.
Throughout the program, you will explore essential topics including AI fundamentals, data analytics, responsible AI practices and change leadership. A blend of hands-on projects, case studies and industry-aligned content ensures that you graduate with the practical knowledge needed to implement a personalized AI and data strategy in your workplace.
You will gain the ability to:
- Understand and apply key AI and data science concepts
- Design strategies that align AI initiatives with organizational goals
- Integrate ethical considerations into AI adoption
- Lead teams through digital transformation and innovation
- This certificate is ideal for working professionals and aspiring leaders who are looking to increase their impact and stay competitive in an evolving digital landscape. You will be encouraged to develop projects that can be implemented immediately, creating real value for your organization while advancing your own expertise.
Build the confidence to lead with data and discover how this graduate certificate can help you harness the power of AI for long-term success.
Start dates
Three cohorts per year, starting each January, May and September.
Length of study
Within a four-month window students will complete three ~20-hour courses.
Work experience
This certificate is best suited to mid-to-senior level professionals.
Program costs
Tuition is $4,999 CAD.
Turn AI knowledge into business value
Build a practical data and AI roadmap you can put to work immediately in your organization.
Lead with confidence in an AI-driven workplace
Use AI and analytics to make smarter decisions, improve productivity and lead meaningful change.
Applied AI in practice
Adopt AI responsibly and gain the knowledge to implement AI with confidence, balancing innovation with ethical and responsible practices.
Hands-on experience
Get hands-on experience with modern AI and data tools, dashboards, real-world projects and proven change-leadership approaches.
The program changed the way I think about AI by showing me that it is much more than a technology tool — it is a powerful business enabler. I now see AI as a way to augment human decision-making, improve project outcomes, increase productivity and uncover insights from data that can lead to better business decisions and innovation. It also reinforced the importance of combining technical capabilities with strong leadership to successfully drive AI adoption within organizations.
Keith Fraser
Founder, Danoke Corporation
A flexible learning experience
Designed for working professionals, the Graduate Certificate in Data Science, Applied AI and Organizational Leadership combines flexible online learning with opportunities for hands-on application and collaboration. Complete three courses in just four months, balancing synchronous sessions and self-paced learning with practical projects, case studies and industry-aligned content.
Who should apply?
The Graduate Certificate in Data Science, Applied AI and Organizational Leadership is designed for professionals who want to strengthen their data and AI expertise and apply it to real-world organizational challenges.
This program is particularly suited for:
- Managers and team leaders looking to improve productivity, strengthen decision-making and identify opportunities to apply AI and analytics within their organizations.
- Professionals transitioning into data-informed roles who want to build confidence, develop practical AI skills and strengthen their leadership capabilities in an increasingly data-driven workplace.
Recommended admission requirements
All applications are considered. The following are recommended minimum academic qualifications:
- Completion of an Honours Bachelor’s degree from a recognized university.
- A minimum B- average, equivalent to a 7.0 GPA on McMaster University’s 12-point scale, or higher.
Whether you’re looking to lead AI adoption, make more informed business decisions or prepare for new opportunities, this certificate can help you build the skills to move forward with confidence.
Time commitment and format
- Three courses: Approximately 20 hours of synchronous and self-paced learning per course.
- Four-month completion: Complete the certificate within one term.
- Flexible start dates: Choose from Winter (January), Spring (May) or Fall (September) start dates.
- Hybrid learning: Winter and Fall intakes combine online learning with a required two-day, in-person residency at the Ron Joyce Centre in Burlington. The Spring intake is delivered entirely online.
This flexible format helps you balance work, life and learning while applying new skills to real-world challenges and building connections with fellow professionals. If you require online accommodations for an in-person residency, please reach out to discuss your needs.
Courses
Two required courses are MMGMT 700 and MMGMT 701 and one elective is selected from MMGMT 702 or MMGMT 703. The grades for each course will be based on a combination of participation, quizzes, and assignments.
With cloud services, the tools to leverage data and artificial intelligence (AI) have become easier to use and more readily available for professionals, managers and leaders to use to drive organizational success. This unique course teaches how to drive digital transformation through the build of a data and AI strategy. Students will learn and apply collaborative planning techniques using whiteboards for ideation, organize and manage using an Objective & Key Results (OKR) framework supported by modern reporting tools, and improve their ability to drive organizational alignment by incorporating data and AI into their leadership approach.
Learning outcomes:
- Build and present a real-world data and AI strategy
- Align teams using OKRs and KPIs
- Redesign workflows for AI-supported decision-making
- Analyze use cases across industries
This course provides leaders with the tools to harness artificial intelligence (AI) for strategic decision-making, focusing on practical use cases across industries. Participants will explore generative AI, AI-Driven Business Assistants, and prompt engineering (an artificial intelligence technique that involves crafting precise inputs to guide generative AI models in producing specific, high-quality outputs) to enhance data analysis, management insights, and business strategy development. Students will leverage LLM tools to explore and apply AI agent capabilities to produce business content like summaries, reports, and drafts, enabling them to create initial drafts and refine their content with AI assistance. This will include prompt engineering techniques to enhance management and leadership outcomes.
By the conclusion of the course, students will be able to:
- Use generative AI and AI assistants for planning and productivity
- Apply AI tools to real organizational tasks
- Develop a working leadership toolkit based on your AI strategy
- Lead teams through AI-integrated change
Prerequisite(s): MMGMT 700
This course exposes students to the broad spectrum of data (a collection of raw facts, figures, or observations that represent information about objects, events, or phenomena). Participants gain an overview of how products are built with data, as it is taken in by computing systems (structured, semi-structured and unstructured). Participants also look under the hood of how modern data products and improvements are built in a professional setting.
Students will identify the core principles of data storage, describe the functions of cloud data lake and database services for handling large-scale data, and recognize SQL database structures. They will demonstrate basic querying techniques and apply foundational skills to manage and retrieve data effectively for business analysis.
By the conclusion of the course, students will be able to:
- Apply technical skills to implement a data-first strategy
- Use cloud platforms and dashboards for real-time insights
- Manage structured and unstructured data
- Build fluency in modern data tools and architectures
This course teaches the broad spectrum of AI tools. This course gives participants an overview of how products are built with AI and a look under the hood of how AI products and improvements are built in a professional setting. Students will explore and experiment with modern AI tools to recognize and evaluate AI-driven solutions for business applications, applying basic AI workflows and assessing the value of machine learning models for industry settings.
By the conclusion of the course, students will be able to:
- Execute an AI-first strategy using real tools and workflows
- Understand AI model design, deployment and governance
- Test and evaluate machine learning solutions
- Lead AI adoption with confidence and ethical awareness
About your instructor
Dr. Ryan Tessier is a technology strategist, educator and senior leader in Canada’s energy sector. With a PhD in mathematics focused on machine learning and quantum systems, he helps professionals turn AI and data into tools for leadership, strategy and transformation. Dr. Tessier has led national training initiatives including the Microsoft Canada Digital Skills program and is known for making complex concepts accessible and actionable.
Apply today
Applications are open for January 2027. Visit the application portal and filter the list of programs for “January” and “Business” to find “Graduate Academic Certificate in Data Science, Applied AI, & Organizational Leadership” and start your application.