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What are the options for Masters In Data Science In Canada?


Everyone is aware of the vast amount of data that people generate on a daily basis. Internet activities of a person result in the generation of a plethora of data. This ends up getting stored in different databases. Making meaningful deductions from this data is only possible with the help of an expert who can understand and comprehend the information. These experts are called data scientists and they are responsible for analysing the available data and creating helpful technologies out of it.

Why Pursue A Career In Data Science?


Data science is an up and coming career path that has become famous in recent years. The main reason for its worldwide popularity is two-fold. Interestingly because of the fact that this is a new field, there are a number of prospective job opportunities for people in this career. Secondly, with the collaboration of technology and data-driven solutions, the scope of using data science tools is vast. Due to these two reasons students nowadays have begun to take up data science masters in Canada and a number of countries across the world.

What is Data Science Masters In Canada?


Among all the popular study destinations across the globe, Canada has become one of the most sought after study abroad locations. There are various reasons that make Canadian universities preferable for people to pursue a Masters in Data Science.


Why Choose Canada As A Study Destination?


The post-graduation curriculum for Data Science in universities in Canada includes a wide range of relevant subjects. Moreover, these courses tend to give a lot of importance to hands-on learning that gives students a chance to improve the application of their knowledge. The topics covered in a Data Science masters in Canada include the following:

  1. Machine Learning

  2. Probability models

  3. Data visualization

  4. Data mining

  5. Data analysis

  6. Big data analytics

  7. Database management

  8. Applied statistics, and more

They open up a vast array of job opportunities for graduates in a number of industry sectors. A Masters in Data Science in Canada also means better salary prospects and higher standards of living for the graduates.

What are the Universities In Canada For Masters In Data Science?

There are a number of world-famous universities in Canada for Masters in Data Science. Some of the top colleges in Canada provide amazing courses and programs for Data Science aspirants. A few of such universities are listed below:

  1. University of British Columbia

  2. Simon Fraser University

  3. Ryerson University

  4. University of Toronto

  5. HEC Montreal

  6. Carleton University

  7. University of Waterloo

  8. University of Western Ontario

  9. McGill University

  10. Queen University

A detailed description of prerequisites and application process can be found on the program pages on these university websites.

What are the course details for masters in Analytics?

Before choosing any course to pursue a career path it is important to understand the course structure and details. This helps in establishing the compatibility of the course with the student’s profile. Moreover, the student can thus realize how to build a profile to get admitted to their dream college. Most Masters in Data Science at universities are 1-year Masters programs in Canada. There are certain courses that last for 1.5 years. Most colleges include 8 months on-campus study followed by industry-level internships in leading enterprises.

What are the application criteria for Masters in Data Science?


To become skilled in a Data Science course a student needs to have some level of expertise in three main subjects. Knowledge of these topics makes it easier for the students to grasp the basic concepts of Masters in Data Science.

  1. Mathematics: It is important that the student has some basic knowledge of certain mathematical concepts. Topics like linear algebra and statistics are necessary for understanding machine learning algorithms in depth.

  2. Some technical knowledge of a programming language: Having basic to intermediate levels of expertise in at least one programming language used for Data Science can be helpful. Some of the most common programming languages include Python, R, Go, and many more.

  3. Problem-solving skills: Having some insight into robust and effective problem solving can help build intuition quickly and firmly.

What is the difference Between Data Science, Data Analysis And Big Data Courses?


The three fields of Data related Master degrees in universities namely, Data Science, Data Analysis and Big Data have varied scopes. This information might be useful in helping a Data Science aspirant to choose the field that best fits with their future career expectations. While Data Science and Big Data seem to have a macro-level scope covering a lot of technologies, Data Analysis courses tend to have a micro-level scope. Data analysis includes finding data and deriving actionable information from it. On the other hand, Data Science includes technologies like Artificial Intelligence, machine learning, deep learning, and more. Consequently, Big Data helps in developing better strategies for business through a thorough insight into the data.

What is the Eligibility For Universities In Canada For Masters In Data Science?


Just like most courses in universities in Canada for Masters, a post-graduate degree in Data Science also has some prerequisites or eligibility criteria. These may vary from university to university in terms of minimum requirements or score cut-offs.

  • Bachelors Degree in relevant field: It is required for the applicant to a program for masters in data science in Canada to have a 4-year Bachelors degree in fields like engineering, computer science, business analytics, statistics, and related fields. Students also need to submit official transcripts of their graduation.

  • GRE/GMAT Scores: Some universities might require students to provide either GRE or GMAT scores.

  • IELTS/TOEFL Scores: For international applicants from countries where English is not a primary language the universities require submission of valid English Proficiency Exam scores.

  • LORs and SOPs: In addition to the exam scores application also require submission of letters of reference and statement of purpose. These help build a profile for the applicant in front of the admissions committee for an effective evaluation of the application.

  • Resume or CV: Applicant must upload their resumes or CVs that include all their academic achievements and work experience details.

There may be other eligibility criteria in addition to the ones mentioned above. Details about these can be obtained from the program page of particular university websites.

What are the costs of Masters In Canada?


The overall course expenses include three major costs for the students to pursue 1-year Masters programs in Canada.

  • Costs before arrival: These are the costs that include some basic expenses that student needs to cover before arriving at the study destination in Canada. These include application fees, visa application cost, examination fees for GRE/GMAT and IELTS/TOEFL, and also health insurance.

  • Annual Tuition Fees: The tuition fees in some of the major colleges for masters in data science in Canada ranges between $10,000 to $35,000.

  • Other personal expenses: There are various other expenses that international students might need to cover during their stay in Canada. These include the cost of accommodation and food, study material like books and stationery, and transportation or travel.

What are the Scholarships For Masters Students?

There are a number of scholarship programs for Masters in Canada that provide financial aid for students pursuing Data Science degrees. Some of the scholarship programs that Data Science aspirants can apply to include:

  1. Masters of Data Science international scholarship

  2. Ontario graduate scholarship

  3. Entrance scholarship

  4. School of graduate studies university-wide scholarship

What are the Possible Career Prospects With Masters In Data Science?

The exponential growth rate of data that can be useful for making meaningful technological improvements has led to the swift growth of Data Science as a career. Many experts in the field of computer science and mathematics are switching to lead a lucrative career in Data Science. One year Masters programs in Canada for Data Science help people build a career in the field with high salaries and successful futures. The approximate average salary of Data scientists is around $100,000.

Many leading corporations hire Data science graduates for improving their business strategies and customer satisfaction. Some of these companies include:

  1. Walmart labs

  2. Booz Allen Hamilton

  3. Oracle

  4. Microsoft, to name a few.



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