Masters in Data Science in Canada

4 minute read
Masters in Data Science in Canada

If you are looking for a career that has higher placement rates, brighter career prospects and unmatched reputation, then you must already be knowing that Data Science is an emerging field to bank upon. The top influencers like Bill Gates and Mark Zuckerberg have predicted that the field is expected to go through tremendous growth and take up a place as the top employer. To study a dynamic course like Data Science, we want to choose the best. Considering the admission rates, availability of scholarships, placement rates and course content, Canada is the perfect country to study the program. If you want to study in Canada and want to work in the country after your education, then it is worth knowing that the country has flexible immigration policies. In this blog, we will cover some of the aspects to study Masters in Data Science in Canada.

Studying Data Science in Canada

Over the years, Canada has emerged as a popular destination for the students to study abroad with surveys suggesting that in the next three years, the number of Indians migrating to Canada would double. A place for endless possibilities, Canada is investing in Research and Development in almost every field which makes it one of the preferred study destinations and it is counted among the countries with the best education system. With some of the world’s finest universities housed in Canada, the country hosts thousands of international students every year. Besides an MBA and MBBS in Canada, the country is pioneering in education in Computers and Technology. The universities in the country have a cutting edge educational infrastructure and higher placement rates which makes it the perfect place to study Masters in Data Science in Canada. Besides, it is easy to find a Scholarship in Canada for a Masters program. 

Eligibility Criteria

To study Masters in Canada, you need to meet the standard eligibility criteria set by the universities there. The criteria can be university-specific which is why it is advisable to go through the university website for the detailed admission requirements before proceeding with your application. The standard eligibility criteria would require you to have:

  • A bachelor’s or equivalent from a recognized university.
  • A valid GRE score.
  • A valid score in the English language proficiency test such as IELTS, TOEFL or PTE

If you are keen on knowing what IELTS score you need to study your Masters in Data Science in Canada, here is our detailed blog on IELTS Score for Canada.

Top Universities for Masters in Data Science in Canada

The universities in Canada are incessantly ranked among the top universities in the world. Offering courses like MBA in Data Science, the institutions in Canada have a reputation for multidisciplinary courses and the community of international students makes them a perfect study destination. Following an international overview, the courses prepare you for diverse job roles anywhere in the world. Spanning over 1-2 years, the Masters in Data Science is one of the widely pursued courses in the country. Students with a Computer Science background are best suited for the program. The course curriculum is designed to incorporate in-depth knowledge of the subject and hands-on training to equip students with the skillset for the fast-changing industry. Listed below are some of the top universities that offer Masters in Data Science in Canada. 

S.No. Universities  Program Name 
1 University of Toronto Masters of Science in Allied Computing- Data Science
2 Carleton University Masters in Computer Science- Data Science 
3 McGill University Masters in Data Science 
4 Queen University Master of Management Analytics MS in Data Science
5 University of Western Ontario Master of Data Analytics
6 HEC Montreal MS Data Science and Business Analytics
7 The University of British Columbia Masters in Data Science
8 University of Waterloo Masters in data science and artificial intelligence
9 Ryerson University Masters in Data Science
10 Simon Fraser University MS in Big Data and Data Science

Data Science vs Data Analytics vs Big Data

Basis of Difference Data Science Data Analysis Big Data
Goal The main goal of data science is to help candidates find the right questions, in data cleansing, preparation and analysis as well The main goal or aim of data analysis is to help the candidates find the right actionable data The main goal or aim of big data is to make use of data to analyse insights in order to lead candidates and people towards better decisions and strategic business moves 
Scope  The scope is macro   The scope is micro  The scope is macro 
Major Fields AI, search engine engineering, corporate analytics, Machine learning Gaming, healthcare, travel, management and finance industries with immediate data needs Customer, compliance, data communication, retail and financial analysis

Top Skills Required to Pursue Masters in Data Science in Canada

  • Artificial intelligence
  • Distributed processing
  • Data presentation
  • Data visualization
  • Data Communication
  • Data Wrangling
  • Data Intuition
  • Data Manipulation
  • Data Integration
  • Formulating problems 
  • Programming Skills
  • Good mathematics and statistics skills 
  • Multivariable Calculus & Linear Algebra
  • Machine Learning
  • Deep Learning
  • Data Science Tools
  • Big Data

Also Read: Computer Science Engineering Syllabus

SOP for MS in Data Science is pivotal to getting admission in a good university and it is the first thing that your admission committee will look at. But don’t worry, we have got you covered. Reach our experts at Leverage Edu who will not only take care of your admission process but will also write engaging SOPs to boost up your admission process. Book your 30-minutes free counselling session with us now and start your journey towards making a successful career in the fascinating field. 

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