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How to Study Data Science In Canada for International Students

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How to Study Data Science In Canada for International Students

For international students, Canada is one of the most well-known and sought-after worldwide locations for high-quality higher education. As the technologically driven world progresses, the glaring new field of Data Science has piqued the interest of technophiles and statisticians and young entrepreneurs and well-established business moguls. So, if you want to pursue a career in data science, you've come to the correct place if you're looking for some of the best data science courses in Canada.

What is Data Science?

Data science in Canada is a multidisciplinary approach to finding, extracting, and surfacing patterns in data using analytical methods, domain expertise, and technology. This approach includes data mining, forecasting, machine learning, predictive analytics, statistics, and text analytics. With data growing at an alarming rate, companies are racing to capitalise on the insights contained within their data. Data science capabilities include descriptive, diagnostic, predictive, and prescriptive capabilities. This means that organisations can use data science to determine what happened, why it happened, what will happen, and what they should do in response to the projected outcome.

What Skills Are Required for Data Science?

Collaboration, teamwork, communication, and domain expertise/business knowledge are examples of business skills.

  • Problem comprehension and analysis
  • Data collection, preparation/cleaning, and exploratory data analysis are all part of the process.
  • Model creation and testing
  • Model deployment, oversight, and governance
  • Findings are communicated to business decision-makers.

Why Canada is best for the Data Science Program?

Canada is a popular study destination interested in data science and analytics for international students. Students in Canada can pursue various undergraduate and postgraduate degrees in data science and analytics at Canadian institutions.

  • An entry-level data scientist can expect to earn around 60,000 USD per year.
  • According to the Canada Big Data Consortium, the number of data scientists has more than doubled in the last four years. However, there is still a shortage of approximately 19,000 professionals.
  • There will be a profitable opportunity for about 4 million jobs involving data science in the next five years.
  • Data scientists are in higher demand than software engineers, with a demand that is 50% higher.

By studying abroad in Canada, you choose to study in one of the world's most powerful economies.

You decide to study in one of the world's strongest economies by studying in Canada. The country provides you with a high standard of living, excellent education, and a welcoming environment to thrive and survive for the duration of your programme.

If you wish to data science but different destinations? find out the dream destinations below.

Top Data Science Universities in Canada

Data Science in Canada is a lucrative programme of study for graduates of computer science or similar programmes. With an abundance of job opportunities in the field, a master's degree in Data Science will not only help you secure high-paying jobs. Still, it will also provide a detailed understanding of how various large companies, such as Amazon and Netflix, collect and use data to establish a prominent market position. The potential benefits of Data Science in Canada are numerous and extensive. A Masters' (MS) degree from a technologically superior and educationally equipped country like Canada is a good idea for any prospective students planning higher education from abroad. This is a hot topic, and the demand for experts in it is increasing in Canada and worldwide.

  • University of Toronto
  • University of Waterloo
  • University of Ottawa
  • University of Western Ontario
  • Ryerson university
  • Carleton university
  • Western university
  • York university
  • Thompson rivers university
  • Acadia university





University of Toronto

MSc applied computing data science

2 years

14,511,789 LKR/yr

Ryerson university

Msc data science and analytics

2 years

6,221,236 LKR/yr

Simon Fraser university

Professional masters program in computer science-Big data specialisation

1-2 years

2,336,882 LKR/term

University of Calgary

Master of data science and analytics

1-2 years

1,023,122/ 3 terms

University of British Columbia

Master of data science

10 months

11,970,031 LKR/yr

University of waterloo

Master of data science

2 years

1,929,889 LKR

Data Science Entry Requirements in Canada

  • To study Data Science in Canada, it is essential to meet the eligibility criteria.
  • To apply to data science colleges in Canada, international applicants must have completed at least 16 years of education.

Eligibility Requirements

  • GRE, GMAT and English proficiency tests like IELTS, TOEFL, and PTE are required for admission to Data Science Colleges in Canada.
  • One can also apply for a Canadian study permit, scholarships, and allowances if needed.
  • Applicants applying for access to PG diploma courses in data science in Canada must have an undergraduate degree in computer science or relevancy.
  • Candidates must have a TOEFL score of 86 - 93. Depending on the data science college, a minimum IELTS score of 6 – 7 is required.
  • Candidates must have a GPA of 3.0 out of a possible 4.33.

Documents Required

  • Attested copies of Standard X, XII, and Bachelor's degree mark sheets (if any)
  • Two academic reference letters from professors.
  • statement of purpose (SOP)
  • GMAT/IELTS/TOEFL score reports, photocopied
  • Others (state and national certificates/achievements, and extracurricular activities)
  • Resume
  • Medical Exams report

Admission Process

  • Choose a course and a university to begin your data science studies in Canada.
  • Submit the application form and application fee.
  • Submit all required documents, including transcripts, and any additional requirements, such as an SOP, resume, LORs, and proof of work experience.
  • You may also be requested to take part in an interview.
  • If a scholarship or financial aid is available at your university, apply for it.
  • Keep an eye out for the admissions decision.

Data Science in Canada Course Details

In Canada, master's degrees in data science typically last 1 to 1.5 years. Some universities provide an 8-month on-campus programme followed by an 8-month internship. Data science courses may also be given in Canada as part of a combined curriculum with data analysis.



Bachelor of science in data science

Western University

Master of Science (MSc) – Data Science

HEC Montreal

Master of engineering in applied data science

University of victoria

(MScAC) Concentration in Data Science

University of Toronto

Master of Science in data science and analytics

Ryerson University

Bachelor of computer science in data science

University of waterloo

Master of data science

University of British Columbia

Difference Between Data Science Vs Data Analytics

Although the goals of Data Science and Data Analytics differ, the definitive resource for both is data. These fields are not only related; Data Analytics is frequently regarded as a branch or subfield of Data Science. In a nutshell, Data Science investigates and tests new methods for using and analysing data. In contrast, Data Analytics focuses on analysing datasets and discovering insights and solutions to problems.

Data scientists use prototypes, algorithms, and predictive models to find new ways to use data or to generate further questions or patterns that will be useful in the future. Data analysts apply their skills to filter data, extract relevant information, and develop solutions for businesses and institutions in various industries, including healthcare, finance, insurance, travel, and energy management. Their insights improve decision-making, establish KPIs (key performance indicators), and other economic uses.


Discrete mathematics Calculus and linear algebra
Intermediate statistics Machines, language and computation
Database systems Modelling and statistics decisions making
Principles of data mining Data mining
Data security Essential statistics
Data structures and algorithms Pattern recognition
Software development visualisation

Skills Required

Problem solving Problem-solving
Attention to details Attention to details
Machine learning
Database management and reporting
Software development Knowledge in SQL, Excel
Programming abilities Business perception

Jobs and salaries

Data Science



Data scientist

95,950 USD

Data architect

72,700 USD

Data engineer

72,300 USD


76,900 USD

machine-learning specialist

77,150 USD

Data Analyst



Data analyst

69,000 USD

Business analyst

68,350 USD

Operations analyst

54,250 USD

Data consultant

76,400 USD

Quantitative analyst

106,750 USD

Cost of Studying Data Science in Canada

In Canada, the annual tuition for studying data science ranges from USD 10,000 to USD 35,000. International students in Canada spend a significant amount of money on expenses other than tuition. The costs include the cost of living in Canada, books and materials, transportation, etc. 

The table below provides an average of the minimum expenses required for studying at that specific university:




Ryerson University

6,700-14,000 USD

1,000-8,000 USD

University of Toronto

6,000-11,300 USD

800 USD

University of British Columbia

13,000 USD

1,060 USD

HEC Montreal

5,000 USD

270 USD

University of waterloo

1,750-3,200 USD

750-920 USD

Carleton university

6,100-10,000 USD

1,000 USD

The cost of living in Canada outside campus is 1,172.56 CAD but can differ for each individual. Students can buy a monthly pass for travel which costs 100CAD. The essential utilities could cost up to 170.75 CAD. The cost of an apartment for a one-bedroom can cost up to 1,500CAD.

Jobs & Salary After Data Science in Canada



Software developer


Senior software engineer


Data analyst


Business intelligence analyst


Data engineer


Scope After Data Science in Canada

Studying data science in Canada will be presented with an unrivalled scope and huge career opportunities. Canada will produce around 300,000 data scientists by 2023, with the Canadian government investing an estimated 1.26 billion dollars.

We are now inundated with data from sensors, digital images, streaming video, satellite and medical imagery, and other sources. When you graduate, you'll have the knowledge and skills to assist governments and businesses in making better decisions and developing more innovative strategies. When you graduate, you'll be prepared for a wide range of job opportunities in canada. Use your talents in fields as diverse as medicine, business, advertising, entertainment, and public health. 

Kickstart your journey with AECC and enrol in data science courses at the top Universities.

Frequently Asked Questions

What is data science, and why is it a promising field of study for international students in Canada?
Data science involves the analysis of large datasets to extract valuable insights. It's promising due to its relevance across industries and high demand for data scientists.
Which Canadian institutions offer data science programs for international students?
Many universities and colleges in Canada offer data science programs to international students.
What are the career prospects for international students who graduate with a data science degree in Canada?
Graduates can pursue careers as data analysts, data scientists, or data engineers in various industries, including tech, healthcare, and finance.
Are there specific admission requirements for international students interested in data science programs in Canada?
Admission requirements may vary by institution but often include academic qualifications and English language proficiency.
How can international students apply for data science programs in Canada?
Students can apply directly to their chosen institutions, ensuring they meet the admission criteria.

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