How to Study Data Science In Canada for International Students

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

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.
• A 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.

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.

Classes

Skills Required

Jobs and salaries

Data Science

Data Analyst

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:

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

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.