Data Science and Artificial Intelligence (Co-op) - Master of Data Science and Artificial Intelligence (MDSAI)

Mathematics 3 Building

Mathematics 3 (M3) building on À¶Ý®ÊÓƵ's main campus

Are you looking to expand your knowledge of data science and artificial intelligence in both the classroom and the workforce?

If so, the Master of Data Science and Artificial Intelligence co-op full-time program may be the right fit for you. Through a combination of strong core theoretical in-class training and hands-on co-op work experience in the field, the program will prepare you for the new changes, demands and challenges from industry.

You'll have the opportunity to build your network of professional contacts through exclusive events with industry professionals and our Data Science Advisory Board. You'll also have the opportunity to enhance your professional development, skill articulation and experience through graduate work-integrated learning (GradWIL).

Program highlights

  • Real-world, hands-on experience with paid co-op placements to give you a competitive edge.

  • Ranked #2 in Canada for Data Science and Artificial Intelligence by QS World University Rankings by Subject, 2024.

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

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

  • Study and interact in dedicated lab and lounge space, and get access to faculty members from our world-renowned departments and schools in the Faculty of Math.

Program overview

Department/School: Data Science
Faculty: Faculty of Mathematics
Admit term(s): Fall (September - December)
Delivery mode: On-campus
Program type: Co-operative, Master's, Professional
Length of program: 16 months
Registration option(s): Full-time
Study option(s): Coursework

Application deadlines

  • January 15 (for admission in September)

Key contacts

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ds.grad.admin@uwaterloo.ca

J.J. Liang

Throughout the program, I watched myself improve as I worked hard alongside my peers and learned from their perspectives.

J.J. Liang, Data Science and Artificial Intelligence, MDSAI

Admission requirements

  • Honours bachelor's degree or equivalent in data science, computer science, statistics, mathematics or a related field, with a minimum overall average of 78%.
  • Experience at the senior levelÌýin at least one of computer science or statistics.

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.

Application materials

  • Resume
  • Statement of interest
    • A statement of maximum 500 words explaining your interest in and fit for the program you’re applying to, uploaded as a supporting document in the online application. Review the writing your personal statement resources for helpful tips and tricks on completion.
  • Program-specific questions (PSQ)
    • These are questions specific to the program you’re applying to. They can be viewed once you’ve started an application and are completed through a form in the online application.

  • Transcript(s)

  • References
    • °Õ³ó°ù±ð±ðÌýreferencesÌýare required; at least two academic.
  • Proof ofÌýEnglish language proficiency, if applicable
    • TOEFL 100 (writing 26, speaking 26), IELTS 7.5 (writing 7.0, speaking 7.0)

Tuition and fees