Canada is predicted to have a booming opportunity of around 4 million data science jobs in the upcoming 5 years. Data science has emerged as the most attractive field in technology and business. It’s no secret that data-driven decision-making has become the key to success for countless organisations worldwide. Universities in Canada for masters in data science will offer you the best of everything, including an unparalleled education, a technologically driven environment, and outstanding job opportunities.
Masters in Data Science in Canada is a 2 years programme with exceptional academic institutions, a thriving tech ecosystem, and welcoming immigration policies. In this blog, we will cover everything you need to know about studying masters in Data Science in Canada, from top universities, eligibility and admission criteria, jobs and salaries, and more.
Why Study Masters In Data Science In Canada 2023
Job opportunities: Canada Master in Data Science provide excellent job opportunities upon graduation for both domestic and international students. This trending field offers an average annual base salary of around 79,000 CAD for a data scientist.
Thriving Tech Industry: Canada has a thriving technology sector, making it an ideal location for aspiring data scientists. Cities like Toronto, Vancouver, and Montreal are major tech hubs with vibrant startup cultures and numerous job opportunities. Many leading companies, including tech giants and innovative startups, have established their presence in Canada, offering excellent internships, networking, and employment prospects upon graduation.
Immigration Opportunities: Canada offers favourable immigration policies for international students, making it easier to transition from studying to working and settling in the country. The Post-Graduation Work Permit (PGWP) allows eligible graduates to work in Canada for up to 3 years, gaining valuable professional experience.
Top Universities For Masters In Data Science In Canada
When considering a masters in data science, choosing the right university is crucial for a successful and fulfilling educational experience. Canada has established itself as a prime destination for data science studies with renowned programmes in the field. Here are some of the top universities for pursuing a Master’s in Data Science in Canada, known for their academic excellence, industry connections, and research opportunities.
| Universities | Average Tuition Fee For International Students (CAD) |
| Simon Fraser University | NA |
| University of British Columbia | 47,734/ year |
| University of Calgary | 4,080/ 3 terms |
| HEC Montreal | 30,000 (total) |
| Ryerson University | 24,809/ year |
| University of Waterloo | 7,696/ term |
| University of Toronto | 57,870/ year |
Eligibility & Admission Requirements For Data Science In Canada
- Bachelor’s degree: The most fundamental criteria for beginning the masters in data science application process in Canada are high school academic transcripts and a bachelor’s degree in a relevant discipline. Applicants must be proficient in Computer Science, Mathematics and English.
- English Language Proficiency Test: International students are required to write and pass the English language proficiency test. TOEFL or IELTS are highly accepted in Canada. The minimum IELTS score required for international students to study at some of Canada’s leading universities for masters in data science is 6.5 or higher, depending on the university/programme.
- GMAT/GRE Score: Some universities may require applicants to submit test scores for the GRE (Graduate Record Examination). The specific exam requirements vary across institutions, and some universities may waive these requirements depending on your academic background or other factors.
Job Opportunities And Salaries For Masters In Data Science In Canada
The demand for data scientists and related roles is attractively high, with competitive salaries and abundant career opportunities across various sectors. As organisations increasingly rely on data-driven decision-making, the demand for skilled data scientists continues to grow. Here are some job profiles and salary expectations for individuals with a Master’s in Data Science in Canada:
| Job Profile | Average Salary of Fresher (CAD) | Average Salary of Experienced (CAD) |
| Functional Analysts. | 52,000 | 70,730 |
| Data Systems Developers | 48,000 | 72,390 |
| Data Analysts | 44,000 | 59,200 |
| Analytics Managers | 70,000 | 91,296 |
| Data Scientists and Advanced Analysts | 59,000 | 80,349 |
Scholarships For Masters In Data Science In Canada
Studying for a masters in Data Science in Canada can be a rewarding and transformative experience. However, the cost of education can sometimes concern prospective students. Fortunately, several scholarships and financial aid options are available to help alleviate the financial burden and support your academic goals.
| Scholarships | Amount (In CAD) | Studies Covered |
| National Overseas Scholarship | Variable | All |
| Paul Foundation Scholarship | 27,100 | Postgraduate & Doctorate |
| Debesh Kamal Scholarship | 1,860 | All levels of study |
| Karen McKellin International Leader of Tomorrow Award | Variable | Undergraduate |
| Go Clean Scholarship | 4,702 | All levels of study |
| BrokerFish International Scholarship | 1,345 | All levels of study |
FAQs
Is Masters in Data Science in Canada worth it?
Masters in Data Science in Canada has exceptional academic institutions. The country has a thriving tech ecosystem, and welcoming immigration policies. Canada is predicted to have a booming opportunity of around 4 million data science jobs in the upcoming 5 years
Is GRE required for masters in data science in Canada?
Some universities may require applicants to submit test scores for the GRE (Graduate Record Examination). The specific exam requirements vary across institutions, and some universities may waive these requirements depending on your academic background or other factors.
Is masters in data science difficult?
Data science is a complex field, as the core elements of data science are math, statistics, and computer science. The math side includes linear algebra, probability theory, and statistics theory.
Which is better masters in data science or MBA?
An MBA in data science enables students to transform data into valuable business insights and adapt to evolving tools and technologies, while an M.Sc in data science equips learners with the latest industry techniques, aligning them with current trends.
What are the companies that hire data science postgraduates?
Some top companies hiring data science postgraduates include Capgemini, Amazon, Wipro, Cognizant, Netflix, Latent View, Fractal Analytics, Genpact, etc.
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1 thought on “Top PGDM Courses In Canada: Universities, Specialisations & Eligibility”
I have done Bachelor’s in Culinary Arts from India and completed my graduation in the year 2022 .I am 22 years old. After graduation, I have done 1 year paid internship from USA .Now, I would like to take occupational experience and learn culinary skills and also do masters in Culinary arts.How can I find the college n best course / country where I can persue studying further