Masters In Data Science In Canada 2024

Masters In Data Science In Canada 2024

In Canada, data science is becoming more and more important in a wide range of sectors, including retail, healthcare, finance, and technology. Additionally, Canada's startup ecosystem and tech sector are expanding, and numerous startups and established businesses are looking for data scientists to assist them in gaining knowledge and making data-driven decisions.

The Canadian government has also acknowledged the value of data science, and a number of efforts are currently under way to encourage the development of this discipline. The Pan-Canadian Artificial Intelligence Strategy, for instance, was introduced by the government and includes investments in talent development, research and development, and the commercialization of AI technology.

In addition, several prestigious Canadian universities now offer programs in data science, and those interested in the discipline can choose from a wide range of boot camps and online courses. So, if you plan to study data science in Canada, you may rest easy knowing that your future is secure.

Additionally, we have created this blog about the top data science universities in Canada and the finest data science programs Study in Canada to support your research.

Top 10 Universities in Canada for Data Science

Numerous prestigious universities in Canada provide top-notch data science degrees. Many of these universities provide undergraduate, graduate, and postgraduate degree programs, as well as specific certificates and specializations in data science and related subjects.

For your consideration, these are a few of Canada's top institutions for data science:

University Tuition Fees (International)
University of Toronto CAD 55,300
McGill University CAD 19,100 (per semester)
University of Waterloo CAD 31,815
University of British Columbia CAD 38,000
University of Alberta CAD 28,010
Simon Fraser University CAD 27,382
University of Montreal CAD 18,978 (per year)
York University CAD 29,962
University of Calgary CAD 29,158
Ryerson University CAD 29,878

Canada's top data science programs

Numerous colleges across Canada offer data science degrees. The programs' focus and structure vary, but they typically involve coursework in subjects like programming, data analysis, machine learning, statistics, and more.

Universities including the University of Toronto, the University of British Columbia, McGill University, the University of Waterloo, and the University of Montreal, among others, provide some of the most well-liked data science degrees in Canada. These courses are often taught by seasoned professors who are subject matter experts and have worked in a variety of sectors.

The following list of well-liked data science programs in Canada:

University Course
University of Toronto Master of Science in Applied Computing
McGill University Master of Science in Data Science and Analytics
University of Waterloo Master of Data Science, Bachelor of Mathematics in Data Science
University of British Columbia Master of Data Science
Simon Fraser University Bachelor of Science in Computing Science
University of Montreal Bachelor of Data Science, Master of Data Science
Ryerson University Bachelor of Science in Data Science and Analytics
University of Alberta Bachelor of Science in Computing Science
Carleton University Bachelor of Computer Science with a Concentration in Data Science
York University Bachelor of Science in Applied Mathematics
University of Guelph Master of Applied Data Science and Analytics
McMaster University Master of Science in Mathematics and Statistics

Canadian Data Science Programs Course Structure

We have compiled the most well-liked data science courses in Canada to give you an idea of how common ones look:

Program Program Type Course Structure Credits
Data Science and Analytics Master's Degree Mathematics for Data Science, Machine Learning, Data Management, Statistical Learning 30
Data Science Certificate  Post-Graduate Certificate  Programming for Data Science, Data Management, Machine Learning, Big Data Analytics  18
Bachelor of Science in Data Science Bachelor's Degree Mathematics for Data Science, Data Management, Data Visualization, Programming for Data Science, Machine Learning, 120
Graduate Diploma in Data Analytics Graduate Diploma Mathematics for Data Analytics, Data Management, Big Data Analytics, Statistical Inference, Machine Learning, 12
Master of Data Science Master's Degree Data Management , Mathematics for Data Science, Programming for Data Science, Data Visualization, Machine Learning 30

Admission requirements for data analytics programs at Canadian universities

Depending on the curriculum and university, different data analytics universities in Canada may have different admission criteria. Here are some standards for entry, though:

  • Education: Applicants must hold a bachelor's degree or higher from an accredited university. A degree in a pertinent subject, such as computer science, mathematics, statistics, engineering, or a related field, is required. Some programs might also accept candidates without a degree who have relevant job experience.
  • GPA: Many schools have minimum GPA requirements, which are typically 3.0 or higher (on a 4.0 scale). Depending on how competitive a program is, some could demand a higher GPA.
  • English Language Proficiency: International students who do not speak English as their first language could be asked to provide documentation of their English language ability. Tests like the TOEFL or IELTS can be used to do this.
  • GRE or GMAT scores: Particularly for master's programs, some institutions may demand GRE or GMAT scores.
  • Work Experience: For some programs, having relevant job experience in data analytics or a related industry is a requirement or preference.
  • Personal Statement or Letter of Intent: Many programs ask applicants to submit a personal statement or letter of intent outlining their career objectives and motivations for applying to the program.

Scholarships for Data Science Courses in Canada

Scholarships, bursaries, grants, loans, and other forms of financial aid are all available for data science programs in Canada. Numerous universities provide their own financial aid plans, such as need- and merit-based bursaries. Additionally, through initiatives like the Canada Student Grant Program (CSGP) and the Canada Student Loan Program (CSLP), the Canadian government offers financial aid to qualified students.

The list of some of the most well-known scholarships for data science programs in Canada is provided below:

1. Canadian Graduate Scholarship - Master's Program (CGS-M)

Offer Amount: $17,500

  • Eligibility Requirements: Students enrolled in a master's program in data science or a related discipline who are Canadian citizens or permanent residents are eligible for this scholarship. Applicants must maintain a minimum GPA of 3.0 to be eligible. The CGS-M offers a fantastic chance to finance your master's studies while exploring the constantly changing field of data science.

2. Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Scholarships

  • Amount Offered: $21,000 - $35,000
  • Qualification Standards: Doctoral students in data science or a related discipline are the target students for the NSERC Postgraduate Scholarships. Candidates must have a minimum GPA of 3.0 and be Canadian citizens or permanent residents to be eligible. This kind award provides opportunities for ambitious academics and researchers to significantly advance their subject.

3. Mitacs Globalink Research Award

  • Amount Offered: $6,000 - $15,000
  • Eligibility Criteria: To assist their data science research projects, undergraduate or graduate students from eligible nations, including Canada, can apply for this award. The Mitacs Globalink Research Award promotes cooperation and information sharing among foreign students by offering a global viewpoint.

4. Ontario Graduate Scholarship (OGS)

  • Amount Offered: $15,000
  • Eligibility Criteria: Open to students enrolled in master's or doctorate programs in data science or a related discipline who are Canadian citizens, permanent residents, or international students. A minimum GPA of 3.0 must be maintained by applicants. The OGS is a distinguished fellowship that offers the chance to excel in academics and carry out ground-breaking data science research.

5. Queen Elizabeth II Graduate Scholarship in Science and Technology (QEII-GSST)

  • Amount Offered: $15,000
  • Eligibility Criteria: With a higher GPA criterion of 3.7, the QEII-GSST is open to Canadian citizens, permanent residents, and international students enrolling in master's or doctorate programs in data science or a related discipline. This award honors exceptionally high academic achievement and equips recipients to lead in the fields of science and technology.

By submitting an application for one of these scholarships, you can reduce the cost of your studies, freeing up time for academic and research pursuits. Utilize these prestigious opportunities to increase your knowledge and proficiency in the fascinating and quickly expanding field of data science. Regarding your applications, good luck!Top of Form

Co-Op Programs for Data Science Programs in Canada 

Co-op programs in data science provide you the chance to develop your abilities in data analytics, machine learning, and related areas by alternating between academic terms and employment terms, which is as fantastic as the name implies. These programs, which often run 4-5 years and include numerous work periods with business partners, give students the opportunity to apply what they learn in the classroom to real-world issues and forge important career relationships. The most well-known data science co-op programs available in Canada are highlighted in the list below.

1. Data Science Co-op - University of Waterloo

Duration: 5 years
Structure: Through this curriculum, students can delve deeply into the field of data science over the course of 20 academic terms. Additionally, students have the priceless experience of five work terms, which offers real-world exposure and contacts to the business. The Data Science Co-op at the University of Waterloo continues the university's tradition of outstanding cooperative education.

2. Co-op Data Science - University of British Columbia

Duration: 5 years
Structure: The University of British Columbia's curriculum offers students an immersive learning environment spanning over 20 academic terms and 4 work terms. The program provides a thorough data science curriculum, and the work terms give students the chance to put their knowledge to use in practical situations.

3. Data Science Co-op - Ryerson University

Duration: 4 years
Structure: The Data Science Co-op at Ryerson University is a compact 4-year program with 16 academic terms and 3 work terms. Even though the program is shorter, students still benefit from exposure to co-op experiences, preparing them for employment after graduation.

4. Co-op Data Analytics - Carleton University

Duration: 4 years
Structure: The Co-op Data Analytics program at Carleton University offers 16 academic terms in addition to 4 employment terms. With this well-rounded approach, students can develop a strong foundation in data analytics and related fields while hone their skills through relevant internships.

5. Applied Data Science Co-op - Simon Fraser University

Duration: 4 years
Structure: The goal of the Applied Data Science Co-op at Simon Fraser University is to give students both theoretical understanding and practical experience. The program's 16 academic terms and 4 work terms give students plenty of chances to put their abilities to use in practical situations.

6. Co-op Data Science - University of Toronto

Duration: 4 years
Structure: A co-op data science program at the University of Toronto includes 16 academic terms with 3 employment terms. This enables them to receive a well-rounded education while gaining real-world experience.
Each of these Co-op programs offers students a special chance to succeed in the fast-paced area of data science. Students can improve their employability, develop knowledge of numerous industries, and have a significant impact on the field of data-driven decision-making by taking part in work periods and working with business partners. Select a program that most closely matches your objectives and desires, then start your exciting academic journey toward a degree in data science.

Career Opportunities at Canada's Top Universities for Data Analytics

You may earn a respectable average salary of CAD 81,000 per year as a data science graduate in Canada. Some of the top employers at Canadian institutions for data analytics are Shopify, BMO, Microsoft, Amazon, Rogers Communications, and others.

Following are a few popular job descriptions and their typical incomes after completing data science degrees in Canada:

1. University of Toronto

Job Profiles: University of Toronto graduates have a variety of job options to consider, such as those for Data Scientist, Business Analyst, and Data Analyst positions. The opportunity to engage with cutting-edge technology and contribute to data-driven decision-making across many industries are abundant in these professions.

Average incomes: Graduates of the University of Toronto in data science can anticipate competitive incomes, which range from $77,000 to $110,000. These numbers demonstrate the strong demand on the labor market for qualified data specialists.

2. University of British Columbia

Job Profiles: Graduates of the data science program at the University of British Columbia are prepared with the knowledge and abilities required for jobs like data analyst, business intelligence analyst, and data scientist. These jobs entail using data to spur innovation and enhance corporate procedures.

Average Salaries: Due to the high need for data professionals across a range of businesses, graduates from UBC can expect to earn between $59,000 and $102,000 on average.

3. University of Waterloo

Job Profiles: University of Waterloo alums are well-suited for careers as Business Analysts, Machine Learning Engineers, and Data Scientists. These positions are at the forefront of developing strategies and conducting data-driven research.

Average Salaries: Employers recognize the University of Waterloo's data science graduates, as evidenced by their competitive salaries, which range from $65,000 to $117,000 on average.

4. McGill University

Job Profiles: Graduates of data science programs at McGill University might investigate careers as Data Analysts, Business Intelligence Analysts, and Data Scientists. These jobs present chances to use data insights to promote organizational success.

Average Salaries: With a salary range of $52,000 to $95,000, McGill graduates can expect to have a successful career in data-related industries.

5. Simon Fraser University

Job Profiles: Graduates of Simon Fraser University's data science program are prepared for careers as Data Analysts, Data Scientists, and Business Analysts, in which they may use data to solve challenging issues and guide strategic choices.

Average Salaries: The industry recognizes SFU data professionals' analytical talents and competence, with salaries ranging from $60,000 to $103,000 expected.
A data science degree from one of these prestigious colleges not only provides access to a wide range of employment possibilities, but also places graduates in a position to earn competitive pay in the data science industry, which is constantly developing.

Contact University Bureau for enrolling in colleges of canada in Data Science

If you want to pursue a career in data science in Canada, University Bureau is here to offer you critical advice that will put you on the right track:

  • Research Different Programs: The universities and colleges in Canada provide a wide range of data science degrees, each of which is catered to a particular interest or set of professional goals. Find the program that best fits your goals by conducting in-depth research and considering elements including the curriculum, the faculty's qualifications, and the availability of research opportunities.
  • Take into account co-op programs: These are a great opportunity to learn data science firsthand while still in school. To improve your employability after graduation, develop your practical skills, and make relationships with industry professionals, select a data science degree that includes a co-op component.
  • Establish a Firm Foundation in Math and Programming: Data science strongly depends on mathematical and coding abilities. Enroll in classes in calculus, linear algebra, statistics, and programming languages like Python and R to strengthen your fundamental knowledge. Your studies in data science will be more successful if you have a solid foundation in these fields.
  • Get Involved in Extracurricular Activities: Getting involved in data science-related extracurricular activities can improve your knowledge and open up beneficial networking chances. To hone your abilities, work with like-minded colleagues, and advance in the profession, participate in hackathons, coding clubs, and data science competitions.
  • Look for Networking Possibilities: In the data science sector, developing a strong professional network is essential. To network with business leaders and prospective employers, attend conferences, seminars, and industry events. Join social media data science organisations and interact with mentors and peers there. LinkedIn is a great place to network with industry professionals and promote your accomplishments.

The subject of data science is quickly growing, and new technologies and approaches are always being developed. By subscribing to professional magazines and participating in webinars, workshops, and conferences, you can stay ahead. To keep up with the most recent developments and to consistently increase your expertise, think about signing up for online courses or certifications.

A successful and fulfilling career in data science can be achieved through selecting the correct data science curriculum, dedicating time to skill development, and networking. Don't be afraid to get in touch with University Bureau Counsellors for advice on how to proceed after choosing your ideal data science university in Canada. You'll be well-equipped to start a successful career in the rapidly expanding field of data science with University Bureau's assistance. We wish you luck.

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