Data Science is one of the emerging fields. Hence, now is the right time to learn Data Science to build a flourishing career in this data-driven world. If you are planning to study abroad, then pursuing a master’s in Data Science from a popular academic hub like Canada is a good decision. So, read this guide to know interesting information like reasons to study MS in Data Science from Canada, popular universities, career prospects, and more.  

Key Highlights

• Why should you study master’s in Data Science in Canada?
• MS in Data Science in Canada: Course highlights
• Popular Data Science specialisations
• Key differences between masters in Data Science and masters in Data Analytics in Canada
• Popular universities offering master of Data Science in Canada
• Masters in Data Science in Canada for international students: Eligibility requirements
• Job opportunities for Data Science graduates

Why should you study master’s in Data Science in Canada?

• Canadian universities offer unparalleled education by combining theoretical methodologies and practical experience, making students job-ready.
• Besides academic excellence, a technologically-driven environment and a high standard of living are two other factors that motivate students to study master’s in Data Science in Canada.
• Last but not least, Data Scientist is one of the most in-demand jobs in Canada, with salaries ranging from CAD 70,000 to CAD 90,000 (∼INR 43 lakhs to 55 lakhs) annually.

MS in Data Science in Canada: Course highlights
MS in Data Science in Canada is a 1-2 year program that equips students with the necessary knowledge and skills to explore and analyse data and extract valuable insights from it to make growth-oriented business decisions. The average annual tuition fee to study this study program from a reputed Canadian university ranges from CAD 30,000 to CAD 50,000 (∼INR 18 lakhs to 31 lakhs).
Popular Data Science specialisations
Some of the popular Data Science specialisations are as follows:

• Artificial Intelligence
• Data Mining
• Big Data Analytics
• Supply Chain Analytics
• Statistical Analysis
• Informatics
• Health Data Science and Biostatistics

Data Science is one field that is closely associated with Data Analytics. Hence, many universities offer MS in Data Science along with Data Analytics. However, these are two different programs, and three major differences between Data Science and Analytics are as follows:

Basis	Data Science	Data Analytics
Goal	Analysing unstructured and structured data to extract meaningful insights	Dealing with structured data, analysing and translating it into actionable insights
Disciplines involved	Mathematics, Information & Computer Science, Statistics, Artificial Intelligence and Machine Learning	Mathematics, Statistics and Statistical Analysis
Required coding language	SQL, SAS, R, Python, etc.	R and Python Language

 

Sr. No.	Name of University	Quacquarelli Symonds (QS) World University Rankings 2023	Times Higher Education (THE) World University Rankings 2023
1	McGill University	1	3
2	University of Toronto	2	1
3	University of British Columbia	3	2
4	University of Alberta	4	6
5	McMaster University	6	4
6	University of Waterloo	7	9
7	Western University	8	10
8	University of Ottawa	9	7
9	University of Calgary	10	8
10	Queen’s University at Kingston	11	12

 

Masters in Data Science in Canada for international students: Eligibility requirements

Some of the general requirements international students need to meet to pursue a master’s in Data Science from a reputed Canadian university are as follows:

• Must have completed a bachelor’s degree in Mathematics, Computer Science, or a related field.
• Academic transcripts (certificates and other degrees)
• A minimum Grade Point Average score of 3.0
• English language proficiency test scores of the International English Language Testing System (IELTS) or Test of English as a Foreign Language (TOEFL)
• Graduate Record Examinations (GRE) or Graduate Management Admission Test (GMAT) test scores
• Letters of recommendation
• Statement of Purpose
• Resume

Note: It is advised to check university-specific requirements before applying to get accurate information.

Job opportunities for Data Science graduates
Data Science is one of the in-demand job sectors worldwide, offering high-paying job opportunities in industries like e-commerce, Information Technology, Healthcare, Banking & Financial Services, etc. The major recruiters of Data Science professionals are Amazon, Google, IBM, and Royal Bank of Canada (RBC), to name a few. The most popular roles offered to Data Science graduates are:

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Data Engineer
• Business Intelligence Analyst
• Analytics Manager
• Data Systems Developer

So, now you can easily plan your academic journey to Canada with this information. If financial worries are bothering you, apply for an education loan for Canada. At Avanse Financial Services, we offer hyper-personalised study loans with multiple benefits like quick loan sanctions, flexible repayments, and 100% financing. Connect with us today to know more about a study loan for abroad programs.