The cost, duration, and availability of a program are all important aspects to consider when choosing a course.
Our website provides details about simon fraser university data science fees, simon fraser university admission requirements for international students, simon fraser university courses, simon fraser university computer science, simon fraser university masters in data science fees, and simon fraser university master’s in data science fees. You can find more information on the simon fraser university data science fees on Collegelearners.
The cost, duration, and availability of a program are all important aspects to consider when choosing a course.
Our website provides details about simon fraser university masters in data science fees, simon fraser university graduate programs for international students, simon fraser university admission requirements for international students, simon fraser university computer science tuition fees undergraduate, simon fraser university masters in computer science, and sfu big data acceptance rate. You can find more information on the simon fraser university masters in data science fees on Collegelearners.
Masters in Data Science in Canada is a 10-16 month-long course with an average tuition fee of around 17,000 USD. For an Indian student who wishes to study at data science colleges in Canada, this cost equals around 12 Lakhs INR. Available as mainstream and specialization of Masters in Computer Science, Big Data, or Mathematics. Masters in Data Science is a multidisciplinary field including data cleansing, preparation, and analysis. Studying data science allows the candidate to find actionable insights from large sets of structured and raw data. With MS in Data Science degree in Canada, you can make an average of 70,000-90,000 USD a year.
International students looking forward to pursuing MS in data science in Canada need a score of 73% or more in their bachelor’s, IELTS score (other ELP equivalent tests), and for some universities GMAT scores to get into the program. Merely fulfilling the admission criteria for master’s in data science for Canadian colleges does not ensure guaranteed admission. Hence, applicants must try having impressive SOPs, LORs, and CV to support their application package
- The average salary for an entry-level data scientist is around 60,000 USD annually.
- The total number of data scientists has doubled over the past four years and there is still a shortage of around 19,000 professionals according to Canada Big Data Consortium.
- A booming opportunity of around 4 million jobs involving data science in the upcoming 5 years.
- The demand for data scientists is 50% higher than that of software engineers.
By studying abroad in Canada, you choose to study in one of the strongest economies in the world. The country offers you a high standard of living, top-level education, and a welcoming environment to thrive and survive through the duration of your course.
For any student who wishes to study a data science course, it is important to note that they must possess the following skills. These help in excelling as a data scientist:
- Mathematics and statistics: Required good grounding in Bayesian statistics, probability, and hypothesis testing.
- Artificial intelligence: Machine learning, natural language processing, and computer vision along with modern computational approach.
- Distributed processing: Knowledge of splitting the large data and processing tasks available to several machines.
- Domain knowledge: Understanding and knowledge of specific domains and applications.
- Formulating problems: Data science involves proposing and testing hypotheses, which requires finding commonalities across what appears to be a different issue.
- Data presentation and visualization: Ability to communicate findings from the data in a readily comprehensible and succinct way.
Admission Process for Masters in Data Science in
Canada
The admission process for masters in data science in Canada varies from university to university. The admissions are, however, offered mostly for winter, summer, and fall sessions. International applicants are required to have completed 16 years of education for applying for a master’s in data science in Canada.
International applicants can apply through the official websites of the universities offering the program.
sfu big data acceptance rate
SFU has a high admissions average that can be very hard to reach. In some programs, the cut off is as high as 80%+ marks. In some programs, however, especially those in Data Analytics, Computing Science and Software Engineering , students do not need to meet a minimum grade requirement . But make sure you check with the department of the program you wish to obtain admission.
Eligibility Criteria for MS in Data Science in Canada
- Four years of a bachelor’s degree in engineering, computer sciences, business analytics, economics, statistics or related subjects.
- Applicants must have an average GPA of 3.0 on a scale of 4.33. This is equivalent to 73-76% or a B on the grade scale for Indian Students.
- Other university-specific admission requirements are tabulated below:
University | Minimum Eligibility |
---|---|
University of British Columbia | Professional experience (optional but desirable), 65% or 8 on a 10 point scale in UG degree. |
University of Toronto | 77-79% or B+ grade in bachelor’s |
Carleton University | GRE/GMAT score |
Ryerson University | B grade or a score of 73-76% |
University of Waterloo | Average of 78% or B+ grade, 1 year of senior-level experience in statistics or CS. |
HEC Montreal | GMAT- 600, GRE, TAGE MAGE- 300 French language proficiency: TEF/TCF- B2 to C1 level |