Masters in Data Science in Canada

Data science is an interdisciplinary field which includes data warehousing, analysis, computing data management, machine learning, presentation, etc. Owning to its huge scope and demand at the global level, it is considered as one of the best options for graduate studies. Canada offers a 10-16 month long program which can be pursued as mainstream or specialisation. There is no dearth of job opportunities after completing master’s in Data Science since you can work as a Data Analyst, Data Scientist, and Machine Learning Engineer, etc. in multinational companies.

Why Data Science from Canada?

Canada is one of the top countries for overseas education and has also begun their bid to lead the data race. The number of data scientists has increased exponentially in the last 3-4 years. However, a shortage of data professionals is also observed as per the report of Canada Big Data Consortium. Also, Data Scientists are more in demand as compared to Software Engineers.

Admission Process & Eligibility

Admission Process

Admission into Data Science courses into usually offered for winter, fall and summer sessions. Applicants can apply through the official websites of the universities. However, it is advisable to seek counselling/guidance related to the entire process before starting the exhaustive application process. You can also connect with Manya – The Princeton Review Private Limited for relevant information regarding higher education in Canada.

Eligibility Criteria

Applicants must fulfil certain eligibility criteria before applying for an MS in Data Science.

1. Four years of a bachelor’s degree in the relevant field
2. Average B score in bachelor’s which may differ depending on the university
3. Additional university-specific requirements
4. Official transcripts to be submitted at the time of application
5. Proof of language proficiency- IELTS, TOEFL score for English language, TCF/DELF for the French language
6. Statement of Purpose, Resume and 2-3 Letter of Recommendations are required to be submitted at the time application

The Cost of Studying in Canada

Canada offers cheap and affordable higher education as compared to many other countries. The overall expense of pursuing a master’s in Canada will oscillate between 11,000 USD – 33,000 USD which covers your pre-arrival costs, tuition fee and cost of living. Your pre-arrival cost will include application fee as well as Visa fee. You can consult a Manya – The Princeton Review counsellor for the latest information on the Visa an application process, permit and expenditure. Tuition fee is your prime expenditure and will cost you somewhere around 17000 USD- 25000 USD, depending on the university. For accommodation, students can choose from many options that are available, such as, on-campus accommodation, shared apartment, and homestay. The cost of living will include your daily expenses, transportation cost, books, etc.

Let us look at some of the Canadian Universities for a Graduate Degree in Data Science

International students who wish to pursue their MS in Canada can opt for these universities. However, for a more exhaustive picture, it is advisable to explore the university websites. Let’s look at some of the best Canadian Universities for MS in Data Science:

1. McGill University – MS in Information Studies
2. University of British Columbia – Master of Data Science (MDS)
3. Simon Fraser University – Professional Master’s Program in Big Data/ Computing Science MSc in Big Data
4. Carleton University – Specialisation in Data Science by participating in Master’s Programs
5. University of Waterloo – Math Computer Science – Data Science Specialization
6. Saint Mary’s University – M.Sc. In Computing & Data Analytics
7. Ryerson University – M.Sc. in Data Science and Analytics
8. University of Western Ontario
9. University of Alberta – MS in Computing Science with Data Analytics; MS in Computing Science with Machine Learning
10. Lakehead University – Introduction to Data Science

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