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Masters in Data Science in Canada

Data science, Data Mining, Data Analytics are some of the buzzwords in the tech world nowadays. The introduction of latest technologies like Machine Learning, Artificial intelligence, Deep learning turns out to be a milestone in the technological era , creating more and more job opportunities in this field.  A degree in the field of data science will provide you a promising boost to your career as it is a skill much needed in the market. Data Science, Data Mining are the trending topics running in the market. But do you even know what it exactly means and where you are heading towards if you are planning to earn a degree in data science? 

Therefore, In order to get a clearer view of the subject mentioned, it is important for you to understand what is Data Science.

MS in Data Science in Canada

What is Data Science?

Data Science is an interdisciplinary field that involves the blend of scientific methods, processes, algorithms, and systems to solve analytically complex problems by extracting knowledge or data in various forms and applying them in a structured or unstructured form. Data science is similar to Data mining.

A more sophisticated definition of Data science says that  Data science is a “concept to unify statistics, data analysis, machine learning, and their related methods” in order to “understand and analyze actual phenomena” with data.

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Benefits of Pursuing Masters in Data Science

MS in Data Science in-Canada

Now that you are familiar with the term, let us unveil the benefits of pursuing a degree in Data ScienceEarning a degree in Data Science is a wise decision to make due to its own benefits-

  • Provides a job security
  • Acts as a unique intersection between Business and IT
  • Adds value to your job 
  • Develops problem-solving skills
  • Critical thinking 
  • Never gets boring

Getting a master’s degree is itself a thing but getting one from an international university is absolutely another level of achievement. Although it is a newly introduced subject due to its popularity and value-added application, more and more international universities are offering programs in Data Science. Top universities in the United States, Europe, Canada are encouraging its students to pursue a course in data science as they are much aware of the acute need of data science professionals in the market. 

Not only this, but Harvard Business Review also declared Data Scientist as ‘the sexiest job of the 21st century” in 2012. As per a report by McKinsey, the US will face the largest shortage of data science professionals – around 190, 000 professionals in upcoming years and the number will keep on increasing. Even PwC emphasized that data scientists, data engineers, and business analysts are going to be in great demand. 

Why pursue a master’s in Data Science in Canada?

 Canada has emerged as one of the strongest economies in the world. People residing in Canada enjoy high standards of living and also internationally renowned education system.

Canada is also going to face a serious shortage (~19, 000) in the data science and big data analytics domain within the same timeframe. According to the recent IDC and Workopolis, there was a 7.8% increase in starting salary for Big Data graduates, with average salaries ranging from CAD $109, 000 to $139, 250 per year. 

Now that you have an idea about the increasing demand of Data scientists in the upcoming years, you would like to take a look at the various Canadian universities offering a degree in Data Science. 

University if British Columbia

MS in Data Science in Canada- University of British Columbia

Duration:10 months

UBC offers a full-time master’s degree in Data Science. The university is located in Vancouver, Canada. The UBC Master of Data Science curriculum covers all stages of this chain, providing you with skills to focus on the “knowledge” section. It is a10 month-long program that focusses on teaching how to extract data for use in experiments, how to apply state-of-the-art techniques in data analysis, and how to present extracted knowledge effectively to domain experts.

The tuition fees for the same is CAD $35,071.

University of Waterloo

MS in Data Science in Canada- University of Waterloo

University of Waterloo is world famous university located in Ontario, Canada. The university offers graduate programs in Computer Science and Mathematics with specializations in Data Science. The university is selective about the enrolment of students in this program ad seeks individuals who love numbers and statistics along with a passion for learning. 

Ryerson University

MS in Data Science in Canada- Ryerson University

Duration: 12 months

Ryerson University offers a separate course for a master’s in Data Science and Analytics.  The university is located in the heart of the city of Ontario, Canada and has a multicultural environment. It offers a full-time program in master’s in Data science for a duration of 12 months.  This unique one-year Master of Science (MSc) degree program enables students to develop interdisciplinary skills and gain a deep understanding of technical and applied knowledge in data science and analytics. Graduates are highly trained, qualified data scientists who can pursue careers in industry, government, or research. The course aims to promote business growth, economic development, and employability.

The tuition fees for a full-time master in Data science and analytics for an international student is CAD $22,379

Carleton University

MS in Data Science in Canada- Carleton University

Duration: 12 months

Carleton University is a comprehensive university located in Ontario Canada. The university offers a collaborative program in Data Science for a period of 12 months. Students enrolled in the Collaborative Program in Data Science must meet the requirements of their respective home units as well as those of the Collaborative Program. The requirements of the Collaborative Program do not, however, add to the number of credits students are required to accumulate by their home unit and the credit value of the degree remains the same.

The tuition fees for a collaborative program in Data Science at Carleton University is CAD $19,477

List of  Canadian Universities offering similar programs to masters in Data Science :

  • MSc in Applied Computing – University of Toronto
  • Master of Management Analytics – Queen’s University
  • Master of Business Analytics – York University
  • MS Computing Science with Big Data Analytics / MS Computing Science with Machine Learning – University of Alberta
  • MSc Business Analytics – HEC Montreal
  • MSC IN MANAGEMENT: Business Analytics – University of Western Ontario
  • Data Science – McGill University / Information Studies – McGill University / Computer Science – McGill University
  • Big Data Management and Analytics – University of Ottawa
  • MS Information Systems – Athabasca University
  • Information Security and Data Management – University of Calgary
  • Computer Science with Database Systems and Data Mining – University of Windsor
  • Computer Science with Data Management, Analytics, and Mining – University of New Brunswick
  • Big Data Analytics M.Sc.: Applied Modelling and Quantitative Methods – Trent University
  • Computer Science with Data Mining – University of Regina
  • MS Computer Science with Research in Data Science – Acadia University

Cost of living while pursuing MS in Data science in Canada

MS in Data Science in Canada- Cost Of Living

Canada is a pretty economical country and the cost of living for international students in Canada is comparatively less than living in other European and the USA.  The on-campus accommodation costs somewhere between 3000-7500 $. After which a 3 bedroom apartment on rent will cost you the following in different cities:

  • Toronto – CAD$1,900
  • Montreal – CAD$1,050
  • Vancouver – CAD$1,950
  • Ottawa – CAD$1,300
  • Edmonton – CAD$1,500
  • Calgary – CAD$1,600
  • Calgary – CAD$1,600

The daily expense typically on food ranges around CAD $13-15 for a day and the commute costs CAD $65- CAD $99 on a monthly basis. 

Job prospects after MS in Data Science in Canada

MS in Data Science in Canada- Job Prospects

1.Data Scientist or Statistician

A data scientist is a person who is employed to analyze and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making. As a data scientist, you will have to extract various data from databases through various statistical methods and tests. You will also have to make sure of the quality and the validity of the final conclusions after all the data has been gathered. You are most likely to work for national governments, local authorities, consulting and reporting companies, market research companies, and research institutes.

Skills required

  • Critical thinking
  • Coding
  • Machine Learning
  • Problem-solving skills
  • Communication Skills
  • Proficiency in Maths
  • Risk analysis

2. Business Intelligence Specialist

A business intelligence specialist is one who strategically designs and implements BI software and systems, including integration with databases and data warehouses. This includes selecting, blueprinting, gathering requirements, designing, and rolling out BI solutions to end-users. The Business Intelligence Specialist is also responsible for ensuring high levels of BI availability through support functions and in-depth testing. You can be working for tech companies, financial companies, consulting, and reporting companies.

Skills required

  • Problem-solving
  • Data analysis
  • Market knowledge
  • Communication skills
  • Interpretational Skills
  • Solution-Oriented

3. Data Analyst

A data analyst refers to an individual who deals with the job of translating numbers into plain English. Every business collects data, whether it’s sales figures, market research, logistics, or transportation costs, a data analyst’s job is to take that data and use it to help companies make better business decisions.

Skills required

  • Analytical Skills
  • Communication skills
  • Attention to detail
  • Maths skills
  • Critical Thinking

4. Data Engineer

A data engineer is a person who develops, constructs, tests, and maintains architectures, such as databases and large-scale processing systems. Data engineers deal with raw data that contains human, machine, or instrument errors. The data might not be validated and contain suspect records; It will be unformatted and can contain codes that are system-specific. They often work closely with the Data scientist and help them with the technicalities. He is typically responsible for managing, optimizing, overseeing, and monitoring data.

Skills required :

  • Coding
  • Math skills
  • Machine Learning
  • Data architecture
  • Analytical problem solving
  • Communication skills
  • Industry knowledge


Salary after Masters in Data Science

MS in Data Science in Canada- Salary

Data scientist or Statistician

Salary.com reports that data scientists make a median salary of $123,226, with a range between $92,934 and $151,685. The salary of a statistician with a master’s degree revolves around USD $80,500- $130,090. Median salaries for statisticians also varied based upon industry:

  • Federal government: $100,700
  • Research and development: $87,100
  • Insurance carriers: $77,400
  • Healthcare and social assistance: $76,000

Data Analyst

According to Payscale.com, the average salary of a data analyst is USD $57, 200 per year ranging between $42,000- $82,070. A peek into the salary of a data scientist from various companies :

  • Capital One: $89,500
  • Microsoft: $89,700
  • EmblemHealth: $77,115
  • Bank of America: $73,300
  • AT&T: $69,000
  • Cisco: $65,700
  • Google: $75,881
  • IBM: $73,053

Data Engineer

According to PayScale,  the average salary of a senior data engineer is approximately US $121,000. 

As per the reports by Glassdoor,
Average Salary: $137,776 per year
Minimum: $110,000
Maximum: $155,000

Emphasizing the fact that individuals with knowledge in Data Science are in great demand, it is crucial for you to consider the importance and vitality of a master’s degree in Data Science. If you are someone who loves to play with numbers and has an instinct to analyze information and possess critical thinking, then you might try giving a shot to Data Science. With all reasons enlisted, Canada is a perfect destination for higher studies. Canadian universities offer professional courses at a reasonable price along with a world-class education. So, I believe that this article will be a perfect guide for you if you are someone who wishes to study data science at an international university. 







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