Students
Tuition Fee
Start Date
Medium of studying
On campus
Duration
16 months
Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Data Analysis | Data Science
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

Program Overview


Program Overview

The Master of Data Science and Artificial Intelligence (MDSAI) co-op full-time program is designed to prepare students for the new changes, demands, and challenges from industry. Through a combination of strong core theoretical in-class training and hands-on co-op work experience in the field, students will gain a competitive edge.


Program Highlights

  • Interdisciplinary learning: Build a strong foundation in data science and artificial intelligence through interdisciplinary learning with courses in computer science, statistics, combinatorics & optimization, and applied mathematics.
  • Hands-on experience: Gain real-world, practical skills with paid co-op placements.
  • Ranked #2 in Canada for Data Science and Artificial Intelligence by QS World University Rankings by Subject, 2024.
  • Industry-Recognized: MDSAI is a Vector Institute recognized master’s program, giving students access to scholarships, exclusive job opportunities, and industry partners.

Program Details

Department/School

The program is offered by the Data Science department within the Faculty of Mathematics.


Admit Term

The admit term for the program is Fall (September - December).


Delivery Mode

The program is delivered on-campus.


Program Type

The program is a co-operative, master's, professional program.


Length of Program

The length of the program is 16 months.


Registration Option

The registration option for the program is full-time.


Study Option

The study option for the program is coursework.


Application Deadlines

  • January 15 (for admission in September)

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
  • Statement of interest
    • A statement of maximum 500 words explaining your interest in and fit for the program you’re applying to.
  • Program-specific questions (PSQ)
    • These are questions specific to the program you’re applying to.
  • 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

Visit the graduate program tuition page on the Finance website to determine the tuition and incidental fees per term for your program. Review living costs and housing, and explore funding graduate school resources for graduate students.


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