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

Mathematics 3 Building

Mathematics 3 (M3) Building on Waterloo's 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 be ready to meet the growing global demands in the fields of data science and artificial intelligence and will gain real-world industry experience with our partners in finance and insurance, big tech and research, and retail and manufacturing, setting you up for a successful career.  

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 

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

Marie Kahkejian and Andrea Blyth-Estabrooks      ds.grad.admin@uwaterloo.ca

Supervisors

  • Review the finding a supervisor resources
  • Before applying to the program, students are strongly advised to establish contact with potential supervisors

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 level in 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
  • Supplementary information form (SIF)
    • The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review the application documents web page for more information about this requirement
    • If a statement or letter is required by your program, review the writing your personal statement resources for helpful tips and tricks on completion

  • Transcript(s)

  • References
    • Three references are required; at least two academic
  • Proof of English language proficiency, if applicable
    • TOEFL 100 (writing 26, speaking 26), IELTS 7.5 (writing 7.0, speaking 7.0)

Tuition and fees