Top Masters in Data Science in Canada: Course Details, University and Fees

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Masters in Data Science in Canada offers an exceptional opportunity for students aiming to excel in the rapidly evolving field of data science. This program, spanning over two years, encompasses a variety of specialisations such as Big Data, Machine Learning, and Artificial Intelligence, tailored to meet the demand for skilled data scientists. Canada's educational institutions are at the forefront of preparing graduates for a dynamic job market. The potential for data scientists in Canada is vast, with the industry seeking professionals who can transform data into actionable insights. This blog is a gateway to understanding the opportunities associated with pursuing a master's in this cutting-edge field.

Masters in Data Science in Canada: Course Highlights

Course Highlights


Course Name

Masters in Data Science

Annual Average Fees

CAD 20,000 - CAD 40,000

Popular Programs Offered

Graduate Certificate in Cloud Computing, MSc Computer Science-Data Science, Professional Master’s Program in Computer Science-Specialization in Big Data, 

MSc in Allied Computing-Data Science, 

MSc Data Science and Business Analytics, 

Master of Management Analytics

Specialisations Offered

Artificial Intelligence, Data Mining, Big Data Analytics, Statistical Analysis, Informatics


Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with a minimum GPA of 3.0/4.0 or equivalent.

Proof of English proficiency (IELTS: 6.5 or TOEFL: 90).

Some universities may require GRE scores.

Top Recruiters

Amazon, Google, Microsoft, IBM, Shopify, TD Bank, Scotiabank

Annual Salary

CAD 70,000 - CAD 100,000

"Start your journey in Data Science with AECC. Contact us for guidance on courses, eligibility, and your future career path."

Why Study Masters in Data Science in Canada?

  • High Demand for Data Scientists: Canada's digital economy is thriving, creating an unprecedented demand for data science professionals.
  • World-Class Universities: Canada is home to some of the best universities for Masters in Data Science, offering cutting-edge research opportunities and state-of-the-art facilities.
  • Diverse Job Opportunities: Graduates can pursue careers in various sectors, including healthcare, finance, technology, and government.
  • Competitive Salaries: Data scientists in Canada enjoy some of the highest salaries in the tech industry, reflecting the value of their skills.
  • Supportive Immigration Policies: Canada's policies are favourable for international students, offering work permits post-graduation and pathways to permanent residency.

Best data science programs in Canada

  • Master of Science in Applied Computing Concentration in Data Science
  • Master of Data Science
  • Masters of Data Science and Artificial Intelligence
  • Professional Master of Science in Computer Science Concentration in Big Data
  • Master of Data Science and Analytics
  • Masters of Science in Data Science
  • Master of Data Analytics
  • Top Universities to study Masters in Data Science in Canada

    Pursuing a Masters in Data Science in Canada opens up a world of opportunities. The country's top universities in Canada not only stand out for their global rankings but also for the diverse specialisations they offer, catering to the evolving demands of the data science industry. Here's a closer look at some of the best universities for Masters in Data Science in Canada, their QS rankings 2024, and the popular specialisations they offer, ensuring you find the right fit for your academic and career aspirations.

    University Name

    QS Ranking 2024

    Popular Specialisation Offered

    University of British Columbia


    Machine Learning, Big Data Analytics

    University of Toronto


    Artificial Intelligence, Statistical Analysis

    McGill University


    Data Mining, Business Analytics

    University of Waterloo


    Artificial Intelligence, Data Engineering

    University of Alberta


    Big Data Analytics, Health Informatics

    These institutions are renowned for their comprehensive programs and are considered some of the best places to study in Canada for Masters in Data Science for International Students. Each university offers a unique set of specialisations, allowing students to tailor their education to their interests and career goals.

    Masters in Data Science in Canada: Admission Process

    • Academic Background: A bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with a competitive GPA.
    • Language Proficiency: A minimum score in an English language proficiency test (IELTS: 6.5 or TOEFL: 90) is typically required.
    • Work Experience: Some programs value relevant work experience, although it may not be mandatory.
    • Letters of Recommendation: Two or three letters from academics or professionals who can attest to your suitability for graduate study.
    • Statement of Purpose: A well-crafted SOP that outlines your academic interests, professional goals, and reasons for choosing the program.

    "Need assistance with your Masters in Data Science application in Canada? Contact AECC for expert guidance and support."

    Masters in Data Science in Canada: Cost of Studying

    Understanding the financial aspect of studying abroad is crucial. Below is a table detailing the annual fees for Masters in Data Science programs at some of Canada's top universities.

    University Name

    Annual Fees in CAD

    University of British Columbia


    University of Toronto


    McGill University


    University of Waterloo


    University of Alberta


    Study Masters in Data Science in Canada with Scholarships

    Scholarship Name


    Scholarship Amount

    Vanier Canada Graduate Scholarships

    Doctoral students, including those in a Masters leading to PhD programs in data science or related fields

    Up to CAD 50,000 per year for three years

    Banting Postdoctoral Fellowships

    Postdoctoral researchers in data science or related fields

    CAD 70,000 per year for two years

    UBC Affiliated Fellowships

    Master's and doctoral students at UBC, including data science programs

    Varies, up to CAD 30,000

    University of Toronto School of Graduate Studies Awards

    Graduate students at the University of Toronto, including data science majors

    Varies, depending on the specific award

    McGill University Graduate Scholarships

    Graduate students at McGill University, including those in data science

    Varies, depending on the specific scholarship

    Ontario Graduate Scholarship (OGS) Program

    Graduate students in Ontario, including data science students

    Up to CAD 15,000 per year

    Canadian Commonwealth Scholarship Program

    International students from Commonwealth countries studying in Canada, including data science majors

    Varies, typically includes tuition and living expenses

    "Secure your future in data science. Contact AECC today for personalised guidance on scholarships in Canada and studying in Canada."

    Masters in Data Science in Canada: Job & Salary

    The demand for data science professionals in Canada has seen a remarkable surge, thanks to the digital transformation across industries. With a Master in Data Science from Canada, graduates are well-equipped to enter a job market that values innovation, analytical skills, and data-driven decision-making. This delves into the various job profiles available to data science graduates and the average annual salaries they can expect in Canada, providing a clear picture for international students considering this lucrative field.

    Job Profile

    Average Annual Salary in CAD

    Data Scientist

    70,000 - 100,000

    Data Analyst

    60,000 - 80,000

    Machine Learning Engineer

    80,000 - 120,000

    Data Engineer

    70,000 - 110,000

    Business Intelligence Analyst

    65,000 - 85,000

    Data Analytics Consultant

    75,000 - 95,000

    Related Article: Part Time Jobs in Canada

    In conclusion, pursuing a Masters in Data Science in Canada represents a significant step towards a promising career in an ever-evolving field. Canadian universities, renowned for their rigorous academic standards and cutting-edge research opportunities, prepare students to meet the global demand for skilled data science professionals. With a comprehensive blog, tailored specialisations, and support for international students, Canada stands out as a premier destination for those aiming to excel in data science. The potential for attractive salaries and diverse job opportunities further enhances the appeal of this academic journey. For students and parents considering study abroad options, a Masters in Data Science in Canada is not just an investment in education but a gateway to a future filled with possibilities.

    For more information on Masters in Data Science in Canada, contact AECC today and take the first step towards a successful international academic journey.


    What are the admission requirements for a Masters in Data Science in Canada?

    Admission requirements typically include a bachelor's degree in computer science, mathematics, statistics, or a related field, with a competitive GPA. Additionally, proof of English language proficiency through tests like IELTS or TOEFL, letters of recommendation, a statement of purpose, and sometimes GRE scores are required. Specific requirements may vary by university.

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