Studying data science in Canada would give you a great career start in pursuing your career in data science. Data Science is one of the fields that is in high demand in Canada. Additionally, there are various job opportunities for data scientists that are available in Canada. As a result, this field is one of the desirable fields to pursue in Canada. And there are a lot of experts in data science in Canada.

Studying data science in Canada will enable you to gain an all-round knowledge in machine learning, artificial intelligence and various fields in data science. Additionally, you will have a tech-savvy environment that will give you room to thrive in data science. However, you need to have the right qualifications and documents that are needed for studying data science in Canada.

In this piece, I will guide you through the admission requirements needed for studying data science in Canada.

Requirements to Study Data Science in Canada

1. Complete your High School Education

   You must have completed your high school education before you can apply to study data science in Canada. Additionally, you must have completed 12 years of education without any study gap. Furthermore, you must have at least credits in Mathematics, Computer Science, and English Language.

2. Meet the Required Percentage

   You need to meet the required percentage to gain admission to study data science. The minimum percentage required by most universities in Canada is 70%. Additionally, you should have a minimum of 3.0 GPA on a scale of 4-point system.

3. English Language Proficiency

   International students are required to take an English Language Proficiency Test. Different universities have the preferred test that they use for screening. The minimum cut-off marks for these tests are TOEFL: 85-95 and IELTS: 6-6.5. However, you need to verify from your school of interest to know the test you can take.

4. Submit a Letter of Recommendation

   You need to have at least two recommendation letters. These letters must be obtained from an employer or a previous lecturer. Therefore, recommendation letters from a friend or family will be rejected.

5. Personal Statement

   You must submit a personal statement or essay outlining why you want to study data science in Canada. Additionally, you should explain what your career aspirations are, and how your academic and personal history has prepared you for this field of study.

6. Submit your Academic Transcripts

   You need to submit your academic transcripts while submitting your application. This should include all your previous education as well as all the grades and the courses. Additionally, you need to submit your transcript in English.

Requirements for Studying Masters in Data Science in Canada

1. Obtain a Bachelor’s Degree

   You must have a bachelor’s degree before you can study master’s in Data science in Canada. This bachelor’s degree must be a 4-year program from a recognized university. Your degree can be in disciplines such as statistics, computer science, engineering or a related field. Additionally, you must have a minimum of 3.0 on a 4.0 scale in your GPA.

2. English Proficiency Test

   You will be required to write an English Language proficiency test if English is not your first language. Additionally, you must show proof of your English proficiency test. You can write tests such as IELTS, TOEFL, or PTE. The minimum scores are 6.0 to 7.0 on the IELTS or 90–100 on the TOEFL.

3. Submit Standardised Test Scores

   Some universities in Canada may require you to submit test scores such as GMAT and GRE. The average required score for GMAT is 550 – 675. Additionally, the average required score for the GRE is 280 -330.

4. Write a Statement of Purpose

   You must write a statement of purpose explaining your qualifications, your plans as well and the reason why you are choosing to study data science in Canada. Additionally, this essay must be 1-2 pages long.

5. Letters of Recommendation

   You must submit at least three recommendation letters during your application. These letters must be obtained from an employer or a previous lecturer. Therefore, recommendation letters from a friend or family will be rejected.

6. Submit your CV

   Your CV should contain all the relevant work experiences you have in this field. Additionally, you should include your skills and every research experience you have in this field.

How to Apply

You can apply to this course through the University’s portal. You need to visit the school’s website and make the application online. Additionally, you should verify the requirements from your schools of interest before you apply.

Duration

The duration of studying data science in Canada depends on the degree you are applying for. The bachelor’s degree lasts for three to four years. Additionally, the master’s degree lasts for about one to two years.

Tuition Fee

The tuition fee for studying data science in Canada varies based on the degree you are applying to. The bachelor’s degree costs about 20,000 CAD to 50,000 CAD per year while the master’s degree costs about 30,000 CAD to 40,000 CAD per year. However, this may vary based on different universities. Additionally, International students pay higher tuition fees.

Universities in Canada that Offer Data Science

1. University of Toronto, Ontario
2. University of British Columbia, British Columbia
3. Simon Fraser University, British Columbia
4. University of Alberta, Alberta
5. McMaster University, Ontario
6. McGill University, Quebec State
7. University of Waterloo, Ontario
8. University of Calgary, Alberta
9. Western University, Ontario
10. University of Ottawa, Ontario
11. Queen’s University, Ontario
12. Concordia University, Quebec State
13. Dalhousie University, Nova Scotia
14. University of Montreal, Quebec State
15. University of Victoria, British Columbia
16. Ryerson University, Ontario
17. University of Manitoba, Manitoba
18. University of Guelph, Ontario
19. York University, Ontario
20. University of Saskatchewan, Saskatchewan
21. Carleton University, Ontario
22. Laval University, Quebec State
23. University of New Brunswick, New Brunswick
24. University of Regina, Saskatchewan
25. Memorial University of Newfoundland, Newfoundland and Labrador
26. Polytechnic School of Montreal, Quebec State
27. Ontario Tech University, Ontario
28. HEC Montreal, Quebec State
29. University of Windsor, Ontario
30. St. Francis Xavier University, Nova Scotia
31. Lakehead University, Ontario
32. Wilfrid Laurier University, Ontario
33. Brock University, Ontario
34. University of Quebec, Trois-Rivieres, Quebec State
35. Trent University, Ontario
36. Brandon University, Manitoba
37. University of Lethbridge, Alberta
38. Laurentian University, Ontario
39. University of Prince Edward Island, Prince Edward Island
40. Saint Mary’s University, Nova Scotia

Finally, studying data science in Canada can be an exciting step towards your career. Canada is well-equipped with technological facilities and a high-quality education to prepare you for a professional career. As a result, studying data science in Canada is extremely competitive. However, if you meet the admission requirements and apply early, you may be eligible for admission. Finally, don’t hesitate to reach us if you have any further questions or need assistance.

Good luck!

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