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Master of Interdisciplinary Artificial Intelligence (online)

Shaping tomorrow’s innovators

Tailored for seasoned professionals in engineering, STEM, business and related fields seeking to explore the intersection of artificial intelligence (AI) and diverse fields, the online Master of Interdisciplinary AI program offers a cutting-edge, industry-driven educational journey.  

Emphasizing hands-on projects, the master’s gives you the skills you need to analyze, improve and succeed in complex environments. Our interdisciplinary courses help you build the expertise to tackle AI challenges, drive innovation and make high-impact contributions across diverse industries and fields.

Main areas of focus:

  • Machine learning algorithms and deployment
  • Deep learning architectures and techniques
  • Natural language processing  
  • Statistical methods and data analysis  
  • Ethical and responsible AI
  • System optimization  

Why uOttawa


Among top 2% of universities worldwide per Times Higher Education


#1 hub in Canada, #1 tech concentration in North America


Ranked #7 among universities in Canada and #145 worldwide

  • 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

Application due

June 15, 2024

Next cohort starts

September 4, 2024


International students

The online Master of Interdisciplinary Artificial Intelligence is currently only offered to Canadian citizens and permanent residents.

Program at a glance

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 

  • Software developer
  • Telecommunications engineer
  • Manufacturing engineer
  • Biomedical engineer
  • Environmental engineer
  • Systems engineer
  • Robotics engineer  
  • Chemical engineer  
  • Petroleum engineer
  • Cybersecurity specialist 


  • Business intelligence analyst
  • Supply chain analyst
  • Financial analyst
  • Marketing analyst
  • Business process consultant
  • Strategy consultant
  • Product manager
  • Customer relationship analyst
  • Project manager 


  • AI enthusiasts (individuals and tech professionals)
  • Professionals seeking a career transition
  • Researchers and academics

Career outlook

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. 


courses (2 per term)




convenient start dates (January, May, September)