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Managing AI and Data Science Projects
HEC Montreal

Managing AI and Data Science Projects

HEC Montreal, Montreal
HomeData & AIHEC MontrealManaging AI and Data Science Projects
1 daysDuration
in-personFormat
FrenchLanguage
Data & AITopic

Available Cohorts

Choose your preferred start date

Nov 11 - Nov 11, 2026
1 days · in-person · Instructor-Led · Montreal Campus
Open
Apr 7 - Apr 7, 2027
1 days · in-person · Instructor-Led · Montreal Campus
Open
Aug 18 - Aug 19, 2027
2 days · online · Instructor-Led
Open
$879

All-inclusive program fee

About This Program

Discover the issues related to artificial intelligence (AI) projects and the major differences with the traditional management of IT and software development projects. Implementing AI and data science (in production, Proof-of-Concept or MVP mode) projects is an intricate process fraught with uncertainty. In general, the quality of the data, the technological complexity of AI implementation, the level of maturity of organizations and the access to resources can make the development and execution of AI solutions especially difficult. This program will present the basics of project management, focusing on data mining and the use of AI technologies. Inspired by the agile-hybrid methodology and the instructor's experience in the Montreal and international AI industry, the content is aimed at accelerating your learning curve and providing you with a guide to implementing AI projects within your organization.

Why HEC Montreal?

HEC Montréal sits at a rare intersection: it is the oldest business school in Canada, yet it consistently punches above its weight on the international stage — ranked among the world's best and operating entirely across two languages in one of North America's most culturally distinct cities. For executives who want rigorous, research-grounded learning without the brand inflation of some Anglo-Saxon institutions, this is a serious alternative.

Your Profile

  • A technical background (e.g., engineering, computer science or data science, among others) is an asset but not a prerequisite.

Benefits

  • Apply project management and product ownership techniques to data mining or AI projects.
  • Gain an in-depth understanding of the roles, responsibilities, steps and results of AI projects.
  • Understand how to apply agile and hybrid principles, and their advantages and potential challenges within an AI project.
  • Receive a digital certificate on completion.

What You'll Learn

  • Agile project management and the role of the product owner
  • Innovative solution design
  • Data science and machine learning
  • Collaboration between technical and science teams
  • Plain-language results and expectations management
  • Lessons learned from past projects
  • Insights into the AI project lifecycle

Frequently Asked Questions

How to Apply

  1. 1

    Check your eligibility

    Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

  2. 2

    Compare programs

    Use Gradia's comparison tool to evaluate up to 3 programs side-by-side on fees, duration, format, and accreditation.

    Compare programs →
  3. 3

    Contact the school

    Send a message directly to HEC Montreal via Gradia to request a brochure or speak with an admissions advisor.

  4. 4

    Prepare your application

    Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

  5. 5

    Submit your application

    Apply directly through HEC Montreal's official application portal.

    Apply now →

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