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Home Programs & Courses Full-Time Programs Artificial Intelligence and Data Science – Loyalist College in Toronto

Artificial Intelligence and Data Science – Loyalist College in TorontoNEW

Available as a two-year program

Prepare for a career in the exciting and innovative field of artificial intelligence (AI). Graduates of this two-year post-graduate program will be equipped with the knowledge and specialized skills in AI and data science needed to design and build data-driven systems for decision-making in the private and public sectors.

As a graduate of Loyalist's full-time Artificial Intelligence and Data Science post-graduate program, you will be equipped with the knowledge to write certification exams with Microsoft (Power BI), Tableau and IBM Watson Analytics.


This program will be delivered in-person for the Winter semester. For more information, please visit our Winter 2022 Program Delivery page.

  • Credential
    • Two-year Ontario College Graduate Certificate

  • Start Date

    September, January and May entry

Find your career

AI and data science professionals find careers working in a range of sectors, including consulting firms, financial services, government and authority, international organizations/non-profits, technology, and research.

Develop essential skills in the following:

  • Statistical modeling and inference
  • Machine learning
  • Data visualization
  • Data warehousing
  • Business intelligence
  • Computer vision
  • Python
  • Mathematics for data science

Experiential learning, including a co-op work term

Through training in predictive, descriptive and prescriptive analytics, gain the knowledge needed to design and build decision-making systems based on AI and data science. Get hands-on skills in the following:

  • Learn how to collect, manipulate and mine data sets to meet organizational need.
  • Acquire skills for designing and applying process-specific data models, as well as for developing software applications to manipulate data sets, correlate information and produce reports.
  • Gain experience identifying and assessing data analytics, business strategies and workflows to respond to new opportunities or provide project solutions.
  • Develop skills in data analytics, business intelligence tools and research to support evidence-based decision-making.
  • Practise developing AI models and agents that use enterprise data to identify patterns, provide insights, recommend actions or perform tasks autonomously, on behalf of stakeholders.
  • A co-op work term in semester four provides an opportunity to gain first-hand workplace experience.

Co-ops in work terms are valuable work-integrated learning experiences in which students demonstrate outcomes from previous semesters in Canadian industry settings. In addition to building skills and identifying career contacts, co-ops in work terms add industry-relevant experience to students’ résumés. The co-op job market is competitive, and students will be expected to participate actively in their job searches. Students will be supported with information and skills to attain co-ops.

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