Masters in Data Science in Canada is a postgraduate-level program that focuses on applying statistical and computational methods to analyze and interpret data. A Master's degree in Data Science in Canada typically takes 1-2 years to complete, depending on the program and the institution. 

The number of intakes per year varies by institution, with some universities offering multiple intake periods. The average Masters in Data Science in Canada fees range from $15,000 - $30,000, depending on the institution and the program. Some may also offer scholarships or financial aid. The curriculum for a Masters in Data Science in Canada program typically includes coursework in statistics, programming, machine learning, and data visualization, with hands-on experience with data analysis and modeling. 

Master's in Data Science in Canada: Course Highlights

Why Study Masters in Data Science in Canada in Canada?

Canada is known to give students international exposure; moreover, there are several reasons why someone might choose to study a Master's in Data Science in Canada:

• Quality education: Canada is known for its excellent higher education system, and universities offering Master's in Data Science programs are no exception. They have a strong curriculum that is designed to prepare students with the expertise and knowledge needed to succeed in the field of data science.
• Career opportunities: With the increasing demand for data scientists, graduates of a Master's in Data Science program in Canada will have a wide range of job opportunities in various industries such as finance, healthcare, technology, and government.
• International exposure: Canada is a multicultural country with a diverse population. Studying in Canada will allow students to interact with peers from different backgrounds and cultures, which can be valuable for their personal and professional development.
• Support for international students: Canadian universities provide excellent support for international students. This includes academic advising, language support, and career services.
• Cost-effective: Studying in Canada can be cost-effective compared to other study destinations, especially considering the low tuition fees and the availability of scholarships and bursaries.

Types of Masters in Data Science in Canada

There are several types of Masters in Data Science programs available to study in Canada. These include-

1. Master of Science in Data Science: covers a wide range of topics in data science, including statistics, programming, machine learning, and data visualization. It usually requires a thesis or research project to be completed.
2. Master of Applied Science in Data Science: focuses on the practical application of data science in a specific industry or field
3. Master of Business Analytics: focuses on applying data science in the business context and includes economics and business data science.
4. Master of Health Informatics: focuses on the application of data science in the healthcare industry.
5. Master of Artificial Intelligence and Machine Learning: focuses on applying Artificial Intelligence and Machine learning techniques to analyze and interpret large data sets.
6. Master of Data Analytics: focuses on applying data science techniques to extract insights from large and complex data sets. 

Best Universities for Masters in Data Science in Canada 

According to various ranking agencies such as QS World University Rankings, Times Higher Education, and U.S. News & World Report, the top 5 universities for masters in Data Science in Canada are:

• University of Toronto: The University of Toronto is consistently recognized as the top university in Canada for a Master's in Data Science and is also highly ranked globally. The Department of Statistical Sciences offers the program.
• University of British Columbia: The University of British Columbia is ranked among the top universities in Canada for a Master's in Data Science. The Department of Computer Science offers the program.
• University of Alberta: The University of Alberta is placed among the top universities in Canada for a Master's in Data Science. The Department of Computing Science offers the program.
• McGill University: McGill University is ranked among the leading universities in Canada for a Master's in Data Science. The School of Computer Science offers the program.
• Simon Fraser University: Simon Fraser University is ranked among the top universities in Canada for a Master's in Data Science. The Faculty of Applied Sciences offers the program.

University requirements: 

The masters in Data Science in Canada requirements of the university mentioned above vary by institution but generally include the following:

• Educational qualifications: Most universities require applicants to have completed a bachelor's degree in a related field, such as mathematics, statistics, computer science, or engineering. Some universities may also require a minimum grade point average (GPA) to qualify for the program.
• Standardized tests: Many universities require applicants to take standardized tests such as the GRE (Graduate Record Examination) or the GMAT (Graduate Management Admission Test).
• English language proficiency: For international students, English proficiency tests such as the TOEFL (Test of English as a Foreign Language) or the IELTS (International English Language Testing System) are usually required to demonstrate proficiency in the English language.
• Technical requirements: Some universities may require applicants to have completed specific coursework in statistics, calculus, linear algebra, and programming languages such as Python or R to be considered for the program.

It's worth noting that the ranking of universities can vary depending on the ranking agency or the criteria used. Therefore, it's important to research and compare the different programs to find the one that best suits your needs and goals.

Course Curriculum of Masters in Data Science in Canada

The topics covered in a Master's in Data Science program in Canada vary depending on the institution and the specific program but generally include-

1. Statistics: Topics such as probability theory, statistical inference, and statistical modeling are covered.
2. Programming: Courses in programming cover topics such as programming languages (such as Python, R, etc.) and software development best practices.
3. Machine Learning: covers topics such as supervised and unsupervised learning, reinforcement learning, and deep learning.
4. Data Visualization: covers topics such as data design and data presentation.
5. Data Management: covers topics such as data warehousing, data mining, and distributed systems.
6. Ethics and Privacy: include courses covering the ethical and privacy concerns related to data science, such as data governance and privacy legislation.

Eligibility Criteria for Masters in Data Science in Canada

For masters in Data Science in Canada, admission eligibility is based on the following:

• Universities mandate a minimum grade point average (GPA) to be eligible for the program.
• Standardized tests such as the GRE or the GMAT.
• English proficiency tests such as the TOEFL or IELTS are necessary.
• Universities may want applicants to have completed specific course work in statistics, calculus, and programming languages.

Admission Requirements for Masters in Data Science in Canada 

• Documents required: For masters in Data Science in Canada, requirements are mainly the documents required for admission to a Canadian university for a Master's in Data Science program. Though they vary by institution but generally include the following:
• Completed application form: Most universities require applicants to complete an online application form, which may include personal information, academic background, and test scores.
• Transcripts: Most universities require official transcripts from all previous post-secondary institutions attended and are to be sent directly from the institution to the university.
• Standardized test scores: universities expect applicants to submit results from standardized tests such as the GRE or the GMAT.
• English language proficiency: For international students, English proficiency test scores such as the TOEFL or the IELTS are usually necessary to demonstrate proficiency in the English language.
• Additional application materials: Some universities may also require applicants to submit a statement of purpose, letters of recommendation, and a CV or resume as part of the application process.
• Proof of identity: Most universities require a copy of a passport or other government-issued identification as proof of identity
• Financial support documents: International students may need to submit financial support documents such as bank statements or a letter from a sponsor.

Exam Requirements for Masters in Data Science in Canada Admission

For Masters in Data Science in Canada, admission universities usually set a minimum grade point average (GPA). Standardized exams like the GMAT or the GRE. It is important to take English proficiency exams like the TOEFL or IELTS. Universities may demand that candidates have taken particular statistics, mathematics, and computer language courses.

Visa requirements and work experience

International students who hope to study at a Canadian university must obtain a student visa. The specific visa requirements for international students vary depending on their country of origin, the length of the program, and the type of institution they will be attending. In addition, some universities may require work experience to be eligible for a program. Please see the official University website for specific requirement details.

Admission Process for Masters in Data Science in Canada

For a Masters in Data Science in Canada, admission typically involves several steps.

1. Research Universities and Check the requirements: Review the requirements and application deadlines for each program you are interested in.
2. Complete the application form: Most universities require applicants to complete an online application form.
3. Submit the required documents: Submit the necessary documents, such as official transcripts, test scores, and proof of English proficiency.
4. Submit additional application materials: Some universities may also require applicants to submit a statement of purpose, letters of recommendation, and a CV or resume as part of the application process.
5. Decision: Once the application is complete, the university will review the application and decide on admission. If the application is accepted, the university will issue an acceptance letter and instructions on how to apply for a student visa (if required).

Cost of Studying for Masters in Data Science in Canada

The cost of enrolling for a Master's degree in Data Science in Canada can vary depending on the institution and program. On average, international students can expect Masters in Data Science in Canada fees to be between $20,000 and $40,000 (CAD) per year for tuition and living expenses. However, some universities may charge more or less than this amount. It is also important to note that scholarships and financial aid may be available to help cover the costs of a Master's in Data Science program in Canada. 

In addition to tuition fees, international students will also need to budget for living expenses in Canada. These can include costs for housing, food, transportation, and other daily necessities. The cost of staying in Canada can vary depending on the location and lifestyle of the student, but on average, it can be around $1000- $1500 per month.

Pre-arrival costs, such as IELTS exam fees, may differ depending on where you take the test, but it could be around $300.

Scholarship and Financial Aid for Masters in Data Science in Canada

There are several ways to secure scholarships for a Master's in Data Science in Canada:

• Check with the university you plan to attend: Many universities in Canada offer scholarships and financial aid to international students, so it's a good idea to check with the institution you plan to attend.
• Look for external scholarships: A number of organizations offer scholarships to foreign students studying in Canada, such as the Canadian government and private foundations.
• Apply for graduate research programs: Some universities offer graduate research programs that fund students in exchange for working as research assistants.
• Consider working part-time or doing an internship: Many universities in Canada offer work-study programs that permit students to work part-time on university grounds in exchange for funding.

Career Opportunities after Masters in Data Science in Canada

With a master's in data science from Canada, the scope for work is extensive and has a good ROI. You may look forward to a promising future and a high employment rate. In Canada, there are many openings for Master's in Data Science in Canada jobs. A data scientist can expect to make 79,820 CAD a year. You can also pursue a Ph.D. in data science in Canada.

After graduating, you'll be able to find work with various multinational corporations, like Deloitte, Shopify, the National Bank of Canada, IBM Canada, etc. You can pursue careers as a data scientist, IT security expert, cyber security analyst, or information security adviser with its assistance.