Master's of Data Science and Artificial Intelligence (MDSAI)

The building Math3 on the University of Waterloo

Further Explore Data Science and Expand your Knowledge of Artificial Intelligence in both the Classroom and in the Workforce.

Explore vast concepts related to data science, artificial intelligence, and the application of those skills in this interdisciplinary program.   

The Master's of Data Science and Artificial Intelligence is a coursework program designed to meet the growing global demand in the fields of Data Science and Artificial Intelligence as you expand upon your knowledge of data science incorporating experiential learning right in your program.

The program provides strong core training so graduates can adapt easily to changes and new challenges from industry. The degree requirements include nine graduate courses relevant to data science. 

Data Science at Waterloo ranked 2nd in Canada

 in QS World Subject Rankings

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Get Real World Experience with the Full-Time MDSAI Co-op Program

The full-time MDSAI co-op program expands on the mission to provide strong core training through a 4-month or 8-month co-op experience, providing the opportunity for hands-on experience working in the field of data science and artificial intelligence. Supported by Waterloo's Co-operative Education program, the largest of its kind in the world, this program aims to meld a strong theoretical knowledge-base with real-world industry experience.

Example co-op positions through a Masters in Data Science and Artificial Intelligence:

  • Risk Management Specialist
  • Software Engineer
  • Enterprise Analyst
  • Reporting Analyst
  • Machine Learning Engineer
  • Data Analytics Intern 
students talking to industry panelist

The MDSAI full-time co-op program can be completed within four terms, comprising of two study terms, a four-month work term, and a final study term, totaling 16 months. However, students have the option to apply for an extended eight-month work term with the same employer, which would lengthen the program to five terms (20 months).

The MDSAI program has been instrumental in shaping my journey. The program gave me a strong foundation in machine learning, data science, and AI, which I’ve applied not only in academic projects but also during my co-op

MDSAI

The MDSAI non-co-op option is designed to provide working professionals a way to upgrade their theoretical knowledge in data science and artificial intelligence.

The program can either complement a prospective student's current profession, or allow for a pathway to a career/promotion in the evolving field of data science and artificial intelligence.

MDSAI non-co-op students have the same access to faculty from our world-renowned departments and schools in the Faculty of Math, as well as networking opportunities with industry and much more. Students in the regular part-time option are expected to complete the degree in nine terms (three years).

Study Options

The MDSAI non-co-op option is available as part-time or full-time option. All students are expected to take in-person classes on the University of Waterloo campus. MDSAI non-co-op option accepts new students mainly in the Fall due to course sequencing. However, Winter and Spring applications will also be considered.

Please Note: International Students

It is generally much harder to obtain a study permit to come to Canada through the MDSAI part-time program.

As such, applicants to the MDSAI part-time program that are neither Canadian citizens nor Permanent Residents of Canada should state in their SIF how they plan on obtaining a study permit to enroll in the program.

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Degree requirements

  • Review the degree requirements in the Graduate Studies Academic Calendar, including the courses that you can anticipate taking as part of completing the degree

Program highlights

  • Exclusive access to the Graduate Data Science Job Board for opportunities from our industry partners.  

  • MDSAI is a Vector Institute recognized master’s program, giving you access to scholarships and exclusive job opportunities.   

  • Access to Faculty members from our world-renowned departments and schools in the Faculty of Math 

Tuition and fees

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