Top 10 Universities in Canada for Masters in Data Science 

Top 10 Universities in Canada for Masters in Data Science - In Canada, a Masters in Data Science is an 8 to 24-month specialisation offered as part of graduate programmes in Computer Science, Big Data, or Mathematics. The average yearly tuition expense for MS in DS in Canada for Indian students is around CAD 40,000 (INR 24 lakh). Top Canadian institutions, like the University of Toronto, McGill University, and the University of British Columbia, offer Masters in Data Science programmes.

To be eligible, you must have a 3.0 GPA in your bachelor's degree in maths, computer science, or statistics. You must also demonstrate English language ability with an IELTS score of 6.5 and an average GRE score of 315. The discipline of data science has an average starting salary of CAD 79,000 and a promising career path. A Master's degree in Data Science in Canada may lead to a variety of work options with major firms such as Google, Shopify, and TD Bank.

Top 10 Universities in Canada for Masters in Data Science

Canada has numerous world-class universities with strong data science programmes. Many of these universities provide a wide range of degree programmes, including undergraduate, graduate, and postgraduate degrees, as well as specialised certifications and diplomas in data science and other subjects.

We've listed some of the finest data science institutions in Canada for you to consider:

Why Study in Canada for a Masters in Data Science?

International students have various benefits when studying for a Masters in Data Science in Canada. Here are a few reasons to study data science in Canada:

Quality Education: Canadian universities are well-known for their high-quality education. Many Canadian universities have established themselves as Data Science leaders by offering comprehensive and up-to-date curriculum that include a wide variety of disciplines like data analysis, machine learning, statistics, and data visualisation.

Job Prospects: Demand for Data Science professionals in Canada is high, and it is likely to increase more in the coming years. A Master's degree in Data Science from a Canadian university can help you find satisfying jobs in a range of areas in Canada, including technology, finance, healthcare, and consulting.

Post-Study Work Permit: Canada offers a post-graduation work visa (PGWP Canada), which permits overseas students to work in Canada for up to three years after completing their studies. This is an excellent chance to get work experience and maybe move on to permanent residency.

Industry Exposure: Canada has a thriving IT industry and numerous global firms. Studying data science in Canada may provide you with important industry exposure and networking possibilities. Many schools have partnerships and collaborations with industry leaders, allowing students to gain hands-on experience and apply their skills in real-world settings through internships, co-op programmes, and research opportunities.

Masters in Data Science - Best Universities Overviews

The following is a list of Canada's best universities for Masters in Data Science. The table above shows the highlights of these colleges' data science courses.

University of British Columbia - The University of British Columbia is a top-ranked international university that provides a Master of Data Science programme to overseas students. British Columbia is one of Canada's most popular colleges for students pursuing an MS in Data Science. Students have improved career chances after completing their degree since the institution has strong relationships with some of the world's best recruiters.

University of Toronto - The University of Toronto's Master's in Applied Computing in Data Science programme teaches valuable computer science and statistics abilities. Toronto University was founded in 1827 and is one of Canada's top ten universities for master's programmes. Foreign students must complete the entrance requirements to pursue the MS in Data Science programme.  

McGill University - McGill University is Canada's oldest university, founded in 1821. It provides more than ten popular courses in 50 specialisations, including the Master of Management in Analytics (MMA). McGill's MMA degree is a one-year programme that prepares students for work in business analytics.

Queen's University - Founded in 1841, Queen's University offers the Master of Management Analytics programme, which provides a balanced academic curriculum that includes core data-analytics concepts and tools as well as business strategy courses, preparing experts who can derive real benefits from the data world. It is a top-tier Canadian university and one of the finest places to study MS in Canada.

HEC Montreal - HEC Montreal is a recognised Canadian university. It provides postgraduate programmes such as MBA/PGDM, MIM, and MSc. International students particularly enjoy the university's Master of Science in Data Analytics and Business Analytics programme. This master's programme equips analytics and data science experts to use sophisticated methods of analysis, optimisation, modelling, machine learning, and statistics.

Simon Fraser Institution - Simon Fraser institution, located in Burnaby, Canada, is the world's top-ranked institution. This university provides eight distinct undergraduate and graduate courses. Simon provides a master's programme in Big Data Specialisation to help students get comprehensive understanding on how to handle the massive amounts of data created every day.

University of Western Ontario - The University of Western Ontario is Canada's oldest and highest-ranking university. It provides a Master of Data Analytics programme to overseas students based on their requirements. To get admitted, students must first earn their bachelor's degree and pass the relevant tests. The programme lasts 12 months and aims to prepare data analytic experts.

Ryerson University - Ryerson University provides a Master of Science in data science and analytics programme to students. Graduates of this programme will be highly proficient in data science and analytics, both technically and practically. Ryerson is one of the most popular choices among international students looking to study in Canada. To apply for admission, students must take examinations such as IELTS or TOEFL.

University of Waterloo - The University of Waterloo is recognised as one of the world's best universities. Waterloo University offers two programmes: Master of Data Science and Artificial Intelligence (MDSAI) and Master of Mathematics (M.Math) in Data Science. Both programmes assist graduates comprehend the fundamentals of statistics, computer science, and optimisation.

Carleton University - Carleton University, founded in 1942, is well-known for its strong academic standards in both undergraduate and graduate programmes. This institution provides Data Science collaboration programmes in 13 academic fields, including M.C.S Computer Science, M.A Economics, M.A Communication, Master of Cognitive Science, and many more.

Conclusion

To summarise, earning a Masters in Data Science in Canada can lead to a fulfilling and in-demand job. Canada's programmes provide a comprehensive curriculum that includes statistics, machine learning, data visualisation, and big data analytics.

Graduates of these programmes will have a variety of job options, including data scientists, data analysts, machine learning engineers, and business intelligence analysts.

International students are very encouraged by Canada's postgraduate work visa and permanent residence alternatives. The majority of graduates who study Masters in Data Science in Canada stay in the nation to pursue a rewarding profession.

FAQs

Q.1. What is the average cost of pursuing Data Science in Canada?

Ans: The average annual cost of studying Data Science in Canada for an Indian student is $15,676.29 CAD.

Q.2. What is the average income for data science postgraduates in Canada?

Ans: The average annual wage package for entry-level positions is between 80,000 and 120,000 USD.

Q.3. What are the essential criteria for obtaining a Master of Data Science in Canada?

Ans: Students seeking a Masters in Data Science (MDS) must have at least a bachelor's degree in computer science, statistics, mathematics, or a related discipline. Basic understanding of programming topics such as Java and Python is also essential.

Q.4. What are the different Data Science courses available at Canadian universities?

Ans: Canada's universities offer a variety of courses, including Decision Analytics, Data Mining and Visualisation, Data Analysis, Statistical Inference and Computing, Big Data Analytics, Big Data Systems, Machine Learning, Master of Data Science, and Artificial Intelligence.