• Bachelor’s degree with an honours or major in engineering, business, science, math, technology or statistics (or equivalent) and a minimum admission average of 70% (B)
• Minimum two years’ work experience
• Undergraduate courses in probability, linear algebra, differential equations and computer programming are prerequisites
• Two letters of recommendation (to be submitted electronically through our portal)
• Resumé
• $120 application fee
• Canadian citizenship or permanent residency 

Upcoming key dates

Our tailored curriculum has been designed and developed by the Faculty of Engineering. The program begins with four compulsory core courses to build your basic competencies in these areas: 

• Foundations and applications of machine learning
• Essential concepts in data science
• System optimization and management
• Ethics for design, AI and robotics 

To supplement this core, you must then complete six elective courses chosen from six concentrations.

Who should consider this program?

Consider this master's if you're a:

Engineering and STEM 

Business

Others 

The global artificial intelligence market is experiencing significant growth, driven by the increasing adoption of AI technologies across various industries. Companies, research institutions and startups in Canada are seeking AI talent, particularly with the ability to integrate AI with expertise in diverse fields, to drive innovation and competitiveness. According to the Brookfield Institute for Innovation + Entrepreneurship, the demand for AI talent in Canada has been steadily increasing, with job postings for AI-related positions rising by 106% between 2017 and 2019.  

Graduates of interdisciplinary AI programs enjoy diverse career prospects across various industries, including roles such as AI engineers, machine learning specialists, data scientists, AI consultants, researchers, designers, analysts, product managers, entrepreneurs and educators.  

According to Glassdoor, professionals attract competitive salaries, with average base salaries for roles like machine learning engineers of up to $121,000 per year in 2024, and higher salaries for senior roles and positions in tech hubs.  

Other AI-related roles also offer lucrative salary potential, with earnings influenced by factors such as location, industry and experience.

• AI engineers — up to $112,000 per year for top earners
• Data scientists — $107,000 per year.
• AI product managers — $109,000 per year  

Job postings mentioning AI have doubled in the past two years, signalling robust demand for AI talent globally, according to LinkedIn data.