Artificial Intelligence and Data Science (Toronto)

Artificial Intelligence and Data Science (Toronto)

This program will prepare students with the in-demand knowledge and skills required to design and build data-driven systems for decision making in the private or public sectors upon graduation. Students will learn about Artificial Intelligence (AI) and Data Science through training in predictive, descriptive, and prescriptive analytics. Graduates will be equipped with relevant skills that can be applied to a range of industries, which increasingly use these cutting-edge technologies.

First Year - Semester One

• AI Principles and Best Practices in Canada
• Deterministic Models and Optimization
• Machine Learning 1
• Maths for Data Science
• Python
• Statistical Modelling and Inference
• Step Presentation (Step 1)

First Year - Semester Two

• Advanced Analytics
• Business Communications in Canada
• Co-op and Canadian Career Search Prep 1
• Data Storytelling Techniques
• Data Visualization
• Data Warehousing and Business Intelligence
• Machine Learning 2
• Step Presentation (Step 2)

First Year - Semester Three

• Co-op and Canadian Career Search Prep 2
• Computer Vision
• Data Science Project Management and Requirement Gathering
• Deep Learning
• Deployment of AI Solutions
• Natural Language Processing
• Programming and Deployment of IoT Devices
• Tools for AI

Credential: Two-year Ontario College Graduate Certificate

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 needs.
• 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.
• Practice 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 work 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.

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