Data Science and Analytics (MSc)

    Data Science and Analytics (MSc)

    Duration1 year(s)
    Tuition Fee
    CAD 20,497 / Year
    Next IntakeMay 1, 2026
    Data Science and Analytics (MSc)

    About

    Format: One year full-time or two year part-time (MRP option) and two year full-time (Thesis option)

    Delivery: Fully virtual, or combination of virtual and in-person courses

    Degree Earned: Master of Science

    This unique Master of Science (MSc) degree program enables students to develop interdisciplinary skills, and gain a deep understanding of technical and applied knowledge in data science and analytics. Graduates are highly trained, qualified data scientists who can go on to pursue careers in industry, government or research. The program is offered as a one year full-time or two year part-time MRP option and two year full-time Thesis option.

    The MSc in Data Science and Analytics is delivered in both lecture-based and hands-on lab learning environments where students can develop and apply their skills to complex, real-world datasets and data science and analytics problems.

    Requirements

    Entry Requirements

    MSc
    • Completion of a four-year undergraduate (or equivalent degree) from an accredited institution in engineering, science, business, economics or a related discipline
    • Minimum grade point average (GPA) or equivalent of 3.00/4.33 (B) in the last two years of study
    • Statement of interest
    • Resumé/CV
    • Transcripts
    • Two letters of recommendation
    • English language proficiency requirement

    More information on admission requirements. Due to the competitive nature of our programs, it is not possible to offer admission to everyone who applies that meets the minimum entrance requirements for the program.

    Program-specific requirements

    Prerequisite Courses

    Prospective students are expected to demonstrate working knowledge of statistics, data structures and algorithms, databases and R software packages. These prerequisites can be documented through prior completion of university or college level degree credit courses equivalent to the following courses that are offered at the G. Raymond Chang School of Continuing Education at Toronto Metropolitan University:

    • CIND 123: Data Analytics: Basic Methods (formerly CKME 132: Statistics and R Programming)
    • CIND 110: Data Organization for Data Analysts (formerly CKCS 110: Database Management)
    • CIND830 Python Programming for Data Science

      (CIND830 Python Programming for Data Science replaces CCPS 305 Data Structures from the Fall 2020 term. The program will keep accepting CCPS305 as a prerequisite course for all those who complete it up to and including the Winter 2021 term)

    English Program Requirements

    English Language Requirements

    TOEFL (IBT) : 93

    IELTS- Academic : 7.0

    PTE - Academic : 63

    Cambridge Assessment Test : 185

    Fee Information

    Tuition Fee
    20,497 / year
    Data Science and Analytics (MSc)
    Toronto Metropolitan University
    Toronto Metropolitan University
    Canada

    Canada, Toronto