Best Universities for MS Data Science in Canada

Several college students, graduates, and working professionals reach out to me to inquire about the best master’s programs for data science and analytics programs in Canada, and the career prospects after studying MS Data Science or MS Data Analytics in Canada. So, here is my post on Top Masters (MS) Data Science and Analytics Masters Programs in Canada.

MS in Data Science in Canada

Masters (MS) in Data Science  in Canada

Top Universities, Eligibility, Cost & Job Market

Importance of Data

Data is becoming the most omnipresent virtual quantity in the 21st century, and more valuable than ever. As experts say,  Data is the New Currency (replacing Oil) in the Digital Economy. The amount of data is exploding. Therefore, analysis of that vast data, Big Data Analytics, has become a key requirement for edging competition, optimizing productivity, driving innovation, customer acquisition, and sales.

The ever-expanding volume and detail of data captured by enterprises & startups, the rise of social media, Machine Learning, and the Internet of Things (IoT) will further fuel the exponential growth in big data analytics for the foreseeable future.

What is Data Science?

Data science lives at the interface between computer science and statistics. It’s the science of learning from data and extracting useful information from it. Much of the work of a data scientist involves data wrangling & exploration, data representation (e.g. using databases), computing with data, data visualization & presentation, and data modelling (e.g. machine learning and traditional statistical models).

MS in Data Science in Canada – Top Universities, Eligibility, Cost, and Deadlines

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Data Science Job Market in the US and Canada

Harvard Business Review declared Data Scientist as the sexiest job of the 21st century. As per the McKinsey report, the US will face the largest shortage of data science professionals – around 190, 000 professionals by 2018. Even PwC emphasized that data scientists, data engineers, and business analysts are going to be in great demand. But, Canada is also going to face a serious shortage (~19, 000) in the big data analytics domain within the same timeframe.

Read: Best Online Courses in Data Science and Machine Learning and Data Science Job Market in Canada

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. So, let’s have a look at the Top Data Science and Analytics Programs in Canada. You should also have a look at the top courses to study in Canada as international students for better job prospects.

 

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Read: Masters in Canada – Costs, Eligibility Criteria, Scholarships, Top Universities, and Job Prospects

 

 

Best Universities for Masters (MS) Data Science and Analytics in Canada: Program Overview

 

Graduate Programs in Data Science – University of Waterloo

 

It’s not a stand-alone program in Data Science. You could specialize in Data Science while studying either a Masters in Computer Science or Masters in Statistics.

 

For the Computer Science track, you need to have a Computer Science, Engineering, or related degree with a minimum overall B+ (78%) average from a recognized university. You should possess sound knowledge of programming languages, data structures, operating systems, algorithms, computer organization and architecture, and a background in calculus, linear algebra, probability, and statistics.

 

For the Statistics track, you need to possess an Honours Bachelor (4-year) degree in Statistics, Mathematics, or related degree with a minimum overall B+ (78%) average from a recognized university. You also need a solid background in calculus, linear algebra, and computer science.

 

The Data Science specialization in Computer Science and in Statistics share a common structure but with different emphasis depending on which specialization students are admitted to, their skill sets, and interests.

 

Both tracks are seamlessly integrated with one another and provide breadth and depth in both areas as they pertain to the emerging and world-recognized discipline of data science. Individuals with knowledge in this area are in high demand. Know more about the Data Science Program at the University of Waterloo.

 

Program Cost – CAD$ 40,000

 

 

Master of Data Science – University of British Columbia

 

It’s a new professional Master’s program, which has been developed by the combined expertise of UBC departments of Computer Science and Statistics. The 10-month accelerated program aims to meet the need of the students by giving a fast track to their careers. It will provide the technical foundation and practical real-world data experience to prepare graduates to effectively translate data into knowledge, communicate the findings, and help decision-makers take action.

 

Students will learn data extraction for experimental use, application of complex techniques in data analysis and how to present and visualize the extracted data to domain experts. Utilizing descriptive and prescriptive techniques, students will extract and analyze data from both unstructured and structured forms.

 

You need to have a 4-year bachelor’s degree in a relevant subject with a minimum B+ (76% at UBC) average in your third and fourth-year courses. You need to possess a deep understanding of programming, probability, statistics, and calculus. The IELTS requirement is 7.0. Know more about the Data Science program at UBC.

 

Program Cost – CAD$ 45,900

 

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Master of Business Analytics – UBC

 

The UBC Sauder School of Business also offers Master of Business Analytics. The program covers the full analytics spectrum, from data management to data analytics to decision analytics. The MS Business Analytics program will prepare students to fill the market’s need for highly skilled analytical talent. The opportunity here is not just for a career in analytics, but a career in an emerging field where you will have the skills to shape future business decisions. Read more about MS Business Analytics in Canada.

 

Read: Masters (MS) Data Science vs MS Machine Learning (and Artificial Intelligence)

 

MScAC Data Science Concentration – University of Toronto

 

 

 

In order to be eligible for the program, applicants must have completed an appropriate undergraduate degree in Computer Science, Mathematics, Statistics or any other discipline that includes significant exposure to statistics, computer science, and mathematics, including coursework in advanced calculus, linear algebra, probability and statistics, programming languages, and computational methods.

 

A standing equivalent of at least B+ (77-79%) in their final year (i.e., two terms) of study (the equivalent of 5 full credits, or 10 half credits).

 

Program Cost – CAD$ 60,000

 

M.Sc. in Computing & Data Analytics – Saint Mary’s University

 

It is a 16-month professional Master’s program that combines two essential concepts of computing and data analytics: Software Design, Development & Management and Analytics & Business Intelligence. The program prepares students for rewarding and lucrative careers in the data science and analytics industry through experiential learning opportunities and industry interactions.

 

The industry partners for this program include IBM, SAS, Affinio, SimplyCast, LeadSift, Venor, REDSpace and few Government agencies. Applicants must possess a four-year Bachelor’s degree in Computer Science (or related field) with a cumulative GPA equal to 70%. Learn more about the Master’s Programs at SMU.

 

Program Fees – CAD$ 37,000

 

Read: MS Computer Science in Canada – Top Universities, Costs, Admission Requirements, and Scholarships

 

Master’s in Big Data – Simon Fraser University

 

The program provides deep knowledge of computer science to create new tools that find valuable data from the vast amount of information generated today. Students get prepared to become data architects, data scientists, programmers, and chief data officers.

 

The curriculum has been developed with inputs from industry experts like IBM, SAP, Simba Technologies, Tableau, and Phemi. This program is ideal for those with a strong aptitude in computer science, engineering or physics. The curriculum also includes a Co-op program (paid internship). Know more about the Big Data Co-op program and Big Data Program Curriculum.

 

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Applicants must hold a bachelor’s degree or equivalent in Computer Science or a related field with a cumulative grade point average (CGPA) of at least 3.00/4.33 (B).  Applicants ideally should also have programming experience, particularly in languages like Java, Python, and C++. Know more about the Professional Master’s Program in Big Data at SFU.

 

Program Fees – CAD$ 42,300

 

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Recommended Reading:

Best Online Courses on Data Science, Machine Learning, AI, and Big Data Analytics

 

Top Platforms and Resources to Learn Data Science & Machine Learning Skills

 

Demystifying Neural Networks, Deep Learning, Machine Learning, and Artificial Intelligence

 

How to Get Data Science, Machine Learning & AI Jobs

Masters in Data Science and Analytics – Ryerson University

 

It’s a one-year MSc program. Students will develop a deep understanding of the technical and applied knowledge in data science and analytics along with interdisciplinary skills. The course aims to promote business growth, economic development, and employability.

 

The fields of study include core technical skills such as math, statistics, operations research, programming and domain knowledge that are in greatest demand in the international job market. This program will enable students to pursue careers in industry, government or research.

 

You need to have a 4-year Bachelor’s degree in Engineering, Science, Business, or Economics with a minimum of 75% (aggregate in the last two years of Bachelor program). You should also demonstrate understanding and working knowledge of statistics, data structures and algorithms, databases, and R software packages. Know more about the Data Science and Analytics program at Ryerson University.

 

Program Fees – CAD$ 23,800

 

Other Top Universities for Masters (MS) in Data Science and Analytics in Canada

 

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 in Data Science and 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

 

Data Science Specialization – Carleton University 

(Alternative Link for Carleton Program)

 

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

 

Need Help with MS Admissions? 

Want to discuss the right universities, and application strategy, or just want to clear your doubts? Book a counseling session with me.

Team Stoodnt and our Counselors provide professional Counselling & Admissions Consulting services. Avail our MS admission counselling services – Career Guidance,  College Shortlisting,  SoP Services,  Essay Reviews,  CV Guidance,  LoR Guidance, etc. For any queries or feedback, leave your comment in the box belowContact us today.

 

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9 Comments

  1. Great job, i love this topic & especially the way you have explained it is really awesome. Thanks for sharing this info.

  2. Very useful info!
    most of my doubts are cleared.
    Any additional info for someone with a 10yrs+ old first degree?
    Thank you.

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