Top Universities for Data Analytics In Canada (2025)

Last Updated on December 13, 2024

The two newer disciplines in business that provide students with great placement chances are data science and data analytics. Furthermore, Canada is a highly sought-after study-abroad destination due to its excellent academic programs and plentiful employment prospects.

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Analyzing, purifying, manipulating, and modelling data in order to extract meaningful information and facilitate decision-making is known as data analytics. Big data analytics, business analytics, predictive analytics, healthcare data analytics, and social media analytics are among the specializations in data analytics. A foundation in Computer Science, Statistics, Machine Learning, or Mathematics qualifies you for a Data Science course. Professionals advise taking a Data Science course at a reputable university to improve your skills and gain a competitive advantage. And if you are planning to study data analytics from one of the leading educational hubs, Canada, then you are at the right platform! This article will provide you with all the required information that will help you to make the perfect choice! 

Data Analytics: An Overview

Programming languages, data collecting and cleaning techniques, statistical approaches, data visualization, and using analytics to address business issues are all covered in data analytics programs. A degree in data analytics requires a number of talents, including programming, database comprehension, mathematical aptitude, and the ability to communicate complex data clearly.

 Data scientists, data engineers, business intelligence analysts, quantitative analysts, and analysts of data are among the career paths available. Opportunities in a variety of industries are presented by a degree in data analytics, since companies are depending more and more on data-driven insights. 

In Canada, graduate programs in computer science, big data, or mathematics offer an 8–24 month master’s degree in data science. For Indian students pursuing an MS in DS in Canada, the average annual tuition cost is approximately CAD 40,000 (INR 24 Lakh). Prominent Canadian universities like the University of Toronto, McGill University, and the University of British Columbia offer Masters in Data Science programs.

You must have a 3.0 GPA in math, computer science, or statistics for your bachelor’s degree to be eligible for the program. Additionally, you should show that you are proficient in the English language with an average GRE score of 315 and an IELTS score of 6.5. With a rising career path, the discipline of data science offers an average beginning income of CAD 79,000. 

Top Universities for Data Analytics In Canada

The following is a table identifying various programs offered by different universities in Canada. 

Why MS in Data Analytics from Canada? 

In Canada, the main reasons why students choose to pursue master’s degrees in data science are the high industry exposure, good living conditions, and employment prospects. Canada is producing a new generation of data scientists with excellent credentials and experience in the field. Furthermore, a significant number of people work for Fortune 500 companies, and some choose to immigrate to other nations, such as the US.

 Now let’s examine the several factors that contribute to the popularity of data science master’s degrees in Canada.

1. Extensive coursework: If you decide to pursue an MS in Data Science in Canada, you will learn about theoretical frameworks and gain exposure to real-world situations.
2. Opportunities for employment: You will be able to find a well-paying position right away after completing your data science degree in Canada.
3. level of living: You will be able to enjoy a high level of life and education in Canada if you pursue a Master’s in Data Science.

Types of Degrees Offered by Canada

Several prestigious universities in Canada offer a variety of master’s degree programs in cyber security. 

1. Some Canadian colleges that offer a Master’s degree in data analytics include McGill University, which charges between $11,000 and $15,000 annually for tuition for both a Master’s in data science and a concentration course in data analytics. 
2. The cost of tuition for the University of Toronto’s Master of Science in Allied Computing-Data Science program is $24,500 for students from within the country and $68,500 for those from outside.
3.  Experts in computer science and statistics created a master’s program in data science at the University of British Columbia with an emphasis on operations research. 
4. Artificial intelligence, machine learning, search engine engineering, and corporate analytics are all included in the broad field of data science. 
5. Last but not least, the cost of the Master’s in Data Science and Business Analytics program at HEC Montreal University ranges from $6,300 to $34,100.

Application Process for Data Analytics in Canada

There is only one thing to consider after learning about advantages, colleges, and the admissions procedure: how to apply to Canadian institutions. This is the detailed admissions procedure for Canadian master’s programs in data science.

1.  Visit the official website of the desired college and check out the requirements.
2. Register on the site, create a profile, and fill it out with the necessary details about your educational background, exam results (if any), selected programs, and so on.
3.  Based on admissions, fee waivers, tuition costs, and other factors, students can search and shortlist the universities they wish to attend that offer an MS in data science.
4. Begin the application process for Canada by uploading the needed files, such as your CV, academic transcripts, SOP, LOR, and any scores from standardized tests like the IELTS, TOEFL, or PTE (if applicable).
5. Observe which applications are active and which are pending.
6. When the admissions committee of the applicant institution has carefully reviewed the candidate’s profile, wait to receive the offer letter.
7. The last step is to confirm your seat in the course and pay the tuition.
8. Adhere to the counselor’s advice when applying for a student visa.
9. Take a plane to Canada to begin your ideal course. 

Eligibility And Requirements For Masters In Data Analytics In Canada

Throughout the application process, you will need to provide the following papers.

1. Written records

An official transcript of your bachelor’s degree is the first prerequisite. If your transcripts are written in a language other than English, you will need to submit an official translation in either English or French.

2. Documentation of English Language Ability

If you reside in a nation where English is not the primary language, you will need to demonstrate your proficiency in the language by passing the English Language Proficiency Tests.

It will be required of you to submit your IELTS results. The university you wish to enroll in will determine the cutoff point for IELTS scores. Find out the lowest IELTS score that your selected school will allow by doing thorough research on them.

3. Score on the GMAT or GRE

As you can see, numbers and figures are involved in data analysis. You have to take and pass the GRE or GMAT exam because it demands some knowledge of math.

4. Reference letter

Once more, this differs depending on the university. In order to enroll in a Data Science Master’s degree, some universities may not require you to provide a letter of recommendation, while others may.

5. Mission Statement

A statement of intent may be required by several universities in addition to your application.

6. CV/Resume

Compared to the other needs mentioned above, this is not as necessary. A copy of your CV, or résumé, which includes information about your education and professional background, may be required by certain universities.

Top Canadian Universities For Data Analytics

1. University of Waterloo 

The Data Science programs at the University of Waterloo investigate the use and creation of techniques that enable insight from accessible data to comprehend, forecast, and enhance public health and safety, business strategy, marketing campaigns, and a host of other endeavors.

2. The University of British Columbia

This is among the top Canadian universities for data science education. Because the school has relationships with some of the best recruiters in the world, you can acquire a solid career after you graduate.

3. Ryerson University 

Students can acquire multidisciplinary skills and a thorough understanding of technical and applied knowledge in data science and analytics through Ryerson University’s distinctive degree in data science. 

4. Carleton’s University

Postgraduate data science programs at Carleton University are entirely focused on the technical side of data science. The programs provide chances to conduct innovative data science and analytics research from a variety of angles, including software engineering, artificial intelligence, and statistics.

5. Western university 

Western University’s Data Analytics program prepares technical experts for careers in both the public and private sectors that are focused on data science and analytics. The curriculum equips students with a set of highly sought-after, multidisciplinary technical data science and analytics abilities by developing their core strengths in computer science and statistics.

6. University of Toronto 

University of Toronto Among the greatest universities in Canada, Toronto University was established in 1827. They provide other computer science and statistics courses in addition to Data Science. To enroll in your Master’s program as an international student, you must fulfill the admission requirements.

7. The University of McGill

Canada’s oldest university is McGill University. Established in 1821, it holds the 31st position in the 2023 QS World University Ranking. The Master of Management in Analytics (MMA) is one of the more than 10 professional degrees offered by the university in more than 50 specializations. 

8. University of Queen’s

In 1841, Queen’s University was established. A comprehensive academic curriculum covering fundamental data-analytic principles, techniques, and business strategies is provided via their Master of Management Analytics degree. Instead of just theoretical knowledge, you will receive hands-on training that will enable you to become an expert in the field of data and reap real benefits.

9.  Western Ontario University

This is one among Canada’s oldest and best universities. This institution provides a one-year Master’s degree in Data Analytics that will provide you the multidisciplinary technical data analytics skills you need to succeed in the field. Their 12-month Master of Data Analytics degree is offered. In order to become an international student, you have to complete the entrance examinations that are mandatory.  

10. York university 

The underlying understanding of data analytics is the main focus of York University’s data analytics curriculum. Students in this program will be introduced to some of the most popular software programs now in use in the business, as well as acquire a thorough education in modern data analytics.

Cost of Studying MS Data Analytics In Canada

The length of the program has a significant impact on how much it costs to pursue an MS in Data Science in Canada. Courses at different colleges and universities have varying cost structures. In Canada, the cost of a postgraduate diploma program in data science can range from CAD 15,000 to CAD 30,000 annually (about).

Career Opportunities In Data Analytics In Canada

After completing your MS in data science, there are several Data Analyst employment available in Canada. You can work as a database architect, data engineer, data scientist, data administrator, data analyst, etc. In Canada, a data scientist makes, on average, CAD 59,000 (about). Let’s take a quick glance at Canada’s employment landscape.

1. Analysts of Data
2. Developers of Data Systems
3. Analysts of Function
4. Advanced Analysts and Data Scientists
5. Managers of Analytics

It could only take a few steps to launch your data science career to new heights. A degree in data science from Canada can help you get a good career in a promising field overseas. 

Conclusion

In Canada, learning a Master’s degree in data science opens up a profitable and in-demand employment path. Students may also choose to work part-time jobs in addition to their studies. These courses provide a thorough education in important areas such as big data analytics, machine learning, statistics, and data visualization. Graduates can work in a variety of positions, including business intelligence analysts, machine learning engineers, data scientists, and analysts. International students are drawn to Canada by its post-graduate work visa and residency alternatives; many choose to stay for the country’s promising job opportunities upon graduation. 

FAQs 

Is it required to submit GRE results in order to pursue an MS in Data Science in Canada?

While not required, many Canadian universities may ask for GRE results. As such, people may come across universities that do not require GRE results in order to be admitted.

Which abilities are necessary for success in a data science program?

Strong programming, statistical, and mathematical abilities are needed for data science programs. Python, R, SQL, and Java are a few important programming languages that are frequently used in data research. Success in this sector also requires good critical thinking, problem-solving, and communication abilities.

What is the cost of an MS in Data Science in Canada?

A Master of Science degree in data science typically costs between CAD 15,000 and CAD 30,000 a year in Canada.

Is a Master of Data Science degree challenging?

A candidate with a background in calculus, mathematics, engineering, or other similar subjects may find it easy to complete a master’s degree in data science.

What is the typical Canadian pay for a data scientist?

The average yearly compensation for a data scientist in Canada is approximately $90,000, according to Glassdoor. However, pay may differ based on industry, region, and experience, among other considerations. 

Tanishka Goel

Tanishka Goel is a content writer who is extremely passionate about academics and desires to help students around the world make the perfect choice for their careers and has obtained substantial expertise in the realm of content writing by working in various organizations.