MSc in Data Science in Canada Fees

Last Updated on August 9, 2022

If you would like to increase your income, change careers or make sense of the data that drives modern business, then an MSc in Data Science is perfect for you. We offer a flexible learning package that’s designed to fit around your life – both online and face-to-face courses at Canada’s most successful university.

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Data science is a field that is constantly growing and evolving. It’s no wonder, since the applications of data science are endless, from sifting through terabytes of data to predict future trends and patterns in markets to analyzing which food combinations make the most delicious meals.

Top 10 Master of Data Science Colleges in Canada

MSc in Data Science in Canada Fees Overview

Master’s degrees in Data Science & Big Data often overlap and teach students how to work with large amounts of information. But the purpose and tools used by each discipline are different. Big Data focuses on all the information which cannot be processed using traditional database systems. The easiest way to see if specific data can be labelled as Big Data is to analyse the 5 Vs (Volume, Velocity, Variety, Veracity, and Value). Data Science, on the other hand, focuses on analysing the data and extracting useful insights for a particular individual, business, or industry. Data Scientists are also responsible for transforming their findings into presentations or reports which can be easily understood by clients or general audiences.

With such an exciting and varied career path, it’s no wonder so many people are interested in pursuing degrees in data science and analytics. Whether you want to get your master’s online or at a brick-and-mortar institution, there are several important factors you should consider before choosing your program. We’ve put together this guide to help you narrow down your choices and make a decision that will change the course of your life!

Here on CollegeLearners, you will find information and answers you are looking for on MS in data science in Canada without GRE, best data analytics courses in Canada, masters in data science Canada online, data analysis courses etc.

The University of Toronto’s MSc in Data Science is a unique, interdisciplinary program that brings together the computing and business skills important for leveraging data to transform organizations. Our students learn how to deal with messy data sets, conduct research with an academic bent, and use their skills to solve real-world problems – all in the heart of Toronto’s innovation corridor.

Data Science in Canada: A Complete Guide for International Students -  Revenues & Profits

Masters in Data Science Program in Canada

The MSc in Data Science is a three-year part-time program which prepares students for careers in industry, consulting and research. The program includes coursework, a research project and an internship. Together these elements provide students with the skills and knowledge required to find meaningful employment upon graduation.

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.

MS in Data Science in Canada for International Students

Aspiring data scientists can now pursue MS in Data Science in Canada. The program can be pursued as a specialisation or as a full-time course. The information technology industry is rapidly growing, and hence the demand for data science professionals is increasing.

MSc in Data Science in Canada Fees

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.

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What is Data Science course

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).

In this article, we will discuss the top 10 data science courses in Canada that you can take, along with information about each course’s curriculum and fees. We will also provide some helpful tips for choosing which program is right for you!

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 course

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 2021. You should also have a look at the top courses to study in Canada as international students for better job prospects.

Masters in Data Science in Canada Universities
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 the 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 Canada.

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

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

The Master of Science in Applied Computing (MScAC) Concentration in Data Science at UoT is offered jointly by the Department of Computer Science and the Department of Statistical Sciences.

This program helps you build skills at the intersection of computer science and statistics. Learn how to solve complex data challenges and gain hands-on industry experience.

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

MSc 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

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.

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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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$ 23,800https://youtu.be/dB43kBXbWa0

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 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 
  • 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
Best online Data Science masters programs
  • Certificate Course in Machine Learning – Stanford University
  • Machine Learning Specialization – University of Washington
  • Algorithms Specialization – Stanford University
  • Python for Data Science and Machine Learning – Udemy
  • Data Science and Machine Learning with Python: Hands On – Udemy
  • Deep Learning with Andrew Ng
  • Data Science Specialization – Johns Hopkins University
  • Big Data Specialization – UC San Diego
  • Excel to MySQL: Analytic Techniques for Business Specialization – Duke University
  • Data Science at Scale – University of Washington
  • Data Structures and Algorithms – UC San Diego
  • Statistics with R – Duke University
  • Applied Data Science with Python – University of Michigan
  • Data Analysis and Presentation Skills – PwC
  • Data Warehousing for Business Intelligence – University of Colorado
  • Data Visualization with Tableau – UC Davis
  • Probabilistic Graphical Models – Stanford University
  • AWS Certified Solutions Architect
  • AWS Certified Developer
  • Python for Data Analysis and Visualization
  • PHP for Beginners
  • Introduction PHP & MySQL
  • Complete Python Bootcamp
Data Science from Canada
  • 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.
Universities in Canada for masters in Data Science

International students who wish to study Masters in Data Science in Canada can apply for the following top universities:

UniversityProgramAnnual Tuition Fees (USD)
University of British ColumbiaMasters in Data Science33,400
Ryerson UniversityMasters in Data Science17,400
University of TorontoMasters of Science in Allied Computing- Data Science27,000
Carleton UniversityMasters in Computer Science- Data Science (collaborative masters)MSDAI- 3,400 MMath- 10,650
University of Waterloo*MDSAI** and MMath in Data Science11,400-16,220
HEC MontrealMS Data Science and Business Analytics20,353-20,730

* There are two more specializations available with the University of Waterloo in MMath-Statistics, Data Science and MMath-CS, Data Science. However, admissions to these programs will be discontinued as of winter 2020.

**Masters in data science and artificial intelligence

11 Data Science Careers That Are Shaping the Future

Courses at Data Science & Analytics Colleges in Canada

Master of Science in Data Science is the most popular Master’s Degree program in Canada. The degree program focuses on the field of data science with a specialization in machine learning and artificial intelligence. It primarily helps to develop the skills required to take up a career in data science.

It is a one-year full-time program. Students who wish to pursue their MS in Data Science in Canada can apply for the course through various universities in Canada.

When planning to study masters in data science, you can additionally consider pursuing related degrees. Some of the related degrees for students looking for masters in data science in Canada are as follows:

  1. MS Computing and Data Analytics: Saint Mary’s University
  2. MS Big Data Analytics: Trent University
  3. Masters in Computer Science (Big Data Specialization): SFU (Simon Fraser University)
  4. Masters in Data Analytics: University of New Brunswick, UWO,and Acadia University. 

Some universities like University of Calgary, Sheridan College, McGill University and others offer various different programs in data science.

Masters in Data Science in Canada: Course Details

The course duration for masters in data science in Canada is mostly around 1 to 1.5 years. Some universities offer 8 months of on-campus study followed by an 8-months internship. The data science courses in Canada may also be available along with data analysis as a single program.

Data Science vs Data Analytics

Often data science and data analytics are used interchangeably. However, the two programs vary from each other. With a focus on processing and performing statistical analysis on pre-set data, data analysis helps in communication and visualization of data. Given below is a table addressing other differences between the programs:

Basis of DifferenceData ScienceData Analysis
ScopeMacroMicro
Major FieldsMachine learning, AI, search engine engineering, corporate analyticsGaming, healthcare, travel, industries with immediate data needs.
GoalHelps in finding the right questionsHelps in finding actionable data
Data Science Vs Big Data

When deciding on which related program to pursue international student may face a confusion with his/her choice. Given below is a basic difference in the two fields to help you make a better decision

Basis of DifferenceData ScienceBig Data
ScopeMicroMacro
Major FieldsMachine learning, AI, search engine engineering, corporate analyticsCustomer, compliance, financial analysis; data communication and retail
GoalHelps in data cleansing, preparation and analysisUsed to analyze insights for leading to better decisions and strategic business moves. 
Curriculum:

Exploring the data, followed by its schematic preparation. A model or an approach type is selected for finding insights from the data. Around the idea, a model is built and the insights are communicated in a comprehensible manner. The following diagram represents the processes involved in data science and interpretation. Processes_involved_in_data_science

Figure: Processes involved in data science

Data Scientist Qualifications

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 University

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.

Eligibility Criteria for MS in Data Science in Canada University
  • 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:
UniversityMinimum Eligibility
University of British ColumbiaProfessional experience (optional but desirable), 65% or 8 on a 10 point scale in UG degree.
University of Toronto77-79% or B+ grade in bachelor’s
Carleton UniversityGRE/GMAT score 
Ryerson UniversityB grade or a score of 73-76%
University of WaterlooAverage of 78% or B+ grade, 1 year of senior-level experience in statistics or CS. 
HEC MontrealGMAT- 600, GRE, TAGE MAGE- 300
French language proficiency: TEF/TCF- B2 to C1 level

Masters in Data Science in Canada Admission Requirements

The top data science schools in Canada offer students opportunities to learn cutting-edge techniques and tools that can help them advance quickly in the field. The graduate certificate programs offered at these institutions are ideal for working professionals who want to stay up-to-date on new developments.

For admission in masters programs in Canada applicants are required to provide the following documents:

  1. Transcripts: Applicants are required to submit official transcripts of the previous education. Some institutes may request certified copies of the documents. International applicants must provide certified English/French language translations for transcripts that are not in the English language.
  2. Proof of Language Proficiency: Proof for English language proficiency must be submitted by international students belonging to non-native English speaking countries. Applicants can submit test scores from TOEFL, IELTS and other standardized English language test scores. The minimum test score requirements for the universities are as follows:
UniversityTOEFL iBT (minimum score)IELTS (minimum score)
University of British Columbia100 7.0 (band score- 6.5)
University of Toronto937 (band score- 6.5)
Carleton University100 7 (band score- 6.5)
Ryerson University937
University of Waterloo1007.5 (band score-7)
HEC Montreal95-1147-8

Note: The English language proficiency tests accepted at different universities may vary. Applicants must ensure that the test taken is accepted at the selected university.

Computer Science | University of London
  1. Letter of Reference: LORs may be required for admissions in some universities. Applicants are required to submit around 2-3 LORs in most universities for masters in data science.
  2. Statement of Purpose/Statement of Intent: Some universities may ask applicants to submit a statement of purpose along with the applications.
  3. Resume/CV: Applicants may be asked to submit a resume or CV with a detailed academic and work experience along with the application.
Admission Decisions for Masters in Data Science Admissions in Canada

Post-application deadlines, the admission decisions are released within a time frame of 6-8 weeks. The applicants for masters in data science in Canada are reviewed on overall academic performance, professional references, and related information available in the CV. The decisions may be delayed in certain cases.

Cost for Studying Masters in Data Science in Canada for international students

For an international applicant planning to study in Canada, the costs for studying can be widely distributed into three categories. These are pre-arrival costs, cost of study, and cost of living. The cost of studying or the tuition fee MS in Data Science in Canada varies from 11,600 USD to 33,000 USD.

Pre-arrival Costs

Given below is a table indicating the one-time major costs involved for an international student planning to study abroad.

Type of ExpenseCost (USD)
Program Application Fees76-136*
Visa Application Fees235**
Health Insurance10,000
IELTS Fees185-190
TOEFL Fees160-250
Airfare450-1400

*Depends on the university

**150 USD for a Canadian Study Permit and 85 USD is Biometric fees.

Tuition Fees of Data Science for Canadian Universities

The annual tuition for pursuing masters in data science in Canada ranges between 10,000 USD to 35,000 USD. This will cost an Indian student around 7,00,000 to 23,00,000 INR. Given below is a graphical image comparing the tuitions of the popular universities offering masters in data science in Canada:Tuition fees for MS Data science in Canada (USD)

Other Expenses for Studying in Canada

International students in Canada spend a large amount while studying on expenses other than tuition. The expenses include the cost of living, books & material, transportation, etc. The table given below suggests an average of minimum expenses required for studying in that specific university:

UniversityCost of Living (USD/year)Books and Materials (USD/year)
University of British Columbia12,700 1,058
University of Toronto6,050-11,350756
Carleton University6,050-10,100910
Ryerson University6,730-14,300831-7,487
University of Waterloo1,750-3,205756-910
HEC Montreal4968264

Food and beverages cost an international student around 3000-4000 USD in and around all the above-mentioned universities.

Masters in Data Science in Canada with Scholarships

There are various scholarships available for international students pursuing masters in Canada. Some of the popular scholarships available to students pursuing MS in Data Science are as follows:

ScholarshipAmount Offered (USD)University
Master of Data Science International Scholarship18,874 /yearUniversity of British Columbia
School of Graduate Studies University-wide awards5293.75/semesterUniversity of Toronto
Ontario Graduate Scholarship3781/semesterCarleton University
Ontario Graduate Scholarship3781/semesterRyerson University
Ontario Graduate Scholarship3781/semesterUniversity of Waterloo
Entrance ScholarshipVariesHEC Montreal
Data Analytics vs. Data Science: A Breakdown
Scholarship Details

Masters in Data Science International ScholarshipUniversity of British Columbia offers an entrance scholarship to its international student enrolling in the master’s program in data science. An amount up to 18,874 USD is offered annually on merit-basis.

The School of Graduate Studies University-Wide Awards: Offered to international graduate students with financial need and academic excellence. The scholarship application is available during winter and the results for the same are announced by July. Applicants must fill in a School of Graduate Studies financial need assessment form for applying.

Ontario Graduate Scholarship: Offered to masters and doctorate international students pursuing an education in Ontario province. Ontario Graduate Scholarship offers an amount of 1,325 USD per year.

Entrance Scholarship: Differential Tuition Fees Exemption is an entrance scholarship offered to newly admitted international applicants for MS programs. The scholarship eligibility and amount is subject to differential tuition of MS programs.

Job Prospects Post-Graduation in Data Science in Canada

Data science is currently one of the explosively growing job sectors in the world. Some of the leading data science careers and median salaries for a postgraduate in data science course in Canada are as follows:

Job ProspectMedian Salary (USD/year)Job ProspectMedian Salary (USD/year)
Business Analyst78,574Sr. Data Scientist120,000
Business Intelligence Analyst77638Data Architect81,000
Business Intelligence Developer81945Application Architect110,000
Data Engineer120,000Machine Learning Engineer140,000
Data Scientist107,500Machine learning scientist162,625
Data Analyst60,416Data Mining Engineer80,673

Data Science Course in Canada vs USA 2021

The MS in Data Science program from University of Illinois at Urbana-Champaign is offered 100% online and can be completed in as little as one year.

The program offers fully online courses, accessible to each student on his or her own schedule. The curriculum combines business, computer science, and statistics courses to provide graduates with the skills necessary to analyze big data sets and make data-driven decisions.

The number of universities offering international students with a data science course is more in the USA in comparison with Canada. Factors to consider for an applicant looking for higher education in data science abroad are as follows:

  • School Selection: the USA has a higher number of universities offering data science courses in comparison with Canada. Some of the popular colleges/universities offering data science in the USA are as follows:
    • Stanford university
    • Carnegie Mellon university
    • New York university
    • Rutgers university
    • University of Washington
  • Cost Efficiency: The overall cost of studying in the USA is extremely high in comparison with Canada. This makes Canada a better study destination.
  • Job opportunities: With more job opportunities, the USA also has a higher number of applicants looking for these jobs. However, Canada does have a comparatively lesser number of job opportunities but also has lesser candidates.
  • Work permit hassle: Getting a Canadian work permit is easier than H1B (work permit for the USA). This plays a major role for applicants who wish to stay abroad post-study.
  • Healthcare: Canada offers free healthcare to all individuals legally residing in the country. However, health insurance covers in the USA are expensive and mandatory for studying and working in the country..
  • Immigrant friendly: Canada trumps over the USA in this category with its immigrant-friendly laws and welcoming atmosphere.

Masters in Data Science from Canada is a lucrative program of study for graduates of computer science or similar programs. With an abundance of job prospects in the field, a master’s degree in Data Science will not just help you secure high-paying jobs, but also give you an extensive understanding of how various big companies like Amazon and Netflix collect and use data to establish a prominent market.

The possible benefits of a Data Science degree from Canada University are many fold and immense. It is not just businesses that prosper with the application of Data Science, but the customers too. The customers benefit by seeing more relevant content, while businesses prosper by targeting the appropriate audience. As a matter of fact, the proper application of Data Science is capable of uplifting economies and countries alike.

It goes without saying that a Master’s (MS) degree from a technologically advanced and educationally adept country like Canada is a good idea for any prospective students planning higher studies from abroad. This field of study is a trending subject and the demand for experts in it is only going up- not just in Canada, but across the world.

Masters in Data Analytics in Canada – Top Programs, Admission Process, Fees, Career Options

The Master in Data Analytics aims to build knowledge around the statistical, data mining and computational methodologies that are used to store, process and analyze large volumes of data (Big Data environments), in order to generate information and useful inputs for decision-making in organizations and contributing to the leverage of the new challenges that other disciplines assume in the current context of technological development.

The Master in Data Analytics in Canada is an interdisciplinary initiative of the departments of Mathematics, Systems Engineering, Computer Science in which areas such as mathematics, statistics, computing and the organizational area, with the purpose of responding to the needs currently posed by the interaction of human beings with tools and technological advances in various fields. It gives rise to unprecedented growth in processing capabilities, storage and access to knowledge and information.

Therefore, the curricular design of the master’s degree is oriented towards the training of professionals with skills in the field of data mining, the management of specialized software, databases and programming, which, is articulated to a critical view of organizational processes, will allow them to generate knowledge to support strategic decision making.

So, for professionals and executives who are or wish to become involved in the field of IT and want to deepen their (business) computer science knowledge in the context of big data, this program makes the right choice.

5 Ways Big Data Analytics Power Productivity & Profits | by Crossover | The  Crossover Blog | Medium

The Data Analytics program qualifies you for the following tasks, among others:

  • Setup and further development of the Big Data infrastructure, in which different models of data and structures are combined
  • Independent formation, planning, and implementation of composite statistical analyses and application of machine learning techniques are based on large amounts of data
  • Data synchronization of semi-structured and unstructured data as well as programming of big data solutions
  • The development of the Business model is based on data analysis results (Data-driven Enterprise)
How will you learn?

Data Science program is designed for those who want to move forward in today’s data-driven marketing industry by deriving useful insights and strategic business plans from data analytics. It’s also ideal for those who want to gain a deeper understanding of marketing management and succeed in this industry.

Highly Experienced Canadian University teachers teach classes. In addition to teaching on-site, online learning also plays a significant role. This means that you get the best of both worlds: regular, personal contact combined with the flexibility to learn where and when you need it outside the classroom. It uses a combination of traditional texts and podcasts, webinars (online seminars) and interactive knowledge checks to keep you engaged, focused, and motivated throughout your studies. Also, you will receive regular academic support from experienced Canadian University instructors, as well as student support for administrative, technical, or motivational issues.

Study Tasks You Have To Perform

In an increasingly dynamic and interconnected world, organizations need to process and analyze large amounts of data through statistical and computational techniques, methods, and strategies, to make effective and timely decisions. On the other hand, in the research field, the analysis of large volumes of information is a very useful tool to generate conclusions that allow validating or refuting hypotheses raised, and in general, to create new information relevant to the research processes.

What Are The Best Universities For Data Science In Canada?

Canada is a country where education has the support of both the state and private institutions. It is for this reason that the universities and research centers of this country are recognized worldwide. Canada is also a country where there are more Internet users and where all companies use high-tech computer systems. Studying systems and networks is a good option in this country. If you want to know which is the best University for computer science in Canada we recommend you read the following information. UBC, University of Toronto, McGill, Simon Fraser University are some of the programs which are highly recognized.

UBC – University of British Columbia

The UBC is one of the leading universities in Canada in Data Analytics. UBC has excellent program in Master of Data Science (MDS). These computer careers are designed under a strict educational program which is responsible for granting students the necessary knowledge to work as Machine Learning Engineers, NLP Engineers, data scientists in local and foreign companies.

The prestige of the UBC computer careers is because annually the graduates obtain awards in international university competitions. The estimated tuition fee for this program for the Canadian Students is $32,000 and for the International Students the tuition fees is $45,000.

General Requirements:

  • Applicants must have 4 year Bachelor degree in a related subject with grade equivalent to 76% or minimum B+
  • Applicants must meet the IELTS requirement score of 7.0 or a TOEFL score of 100 (for MSc program in the main campus).
University of Waterloo

University of Waterloo is one of the best educational institutions in Canada. Currently two Master’s/graduate programs are offered in Data Science.

  • Master of Data Science and Artificial Intelligence (MDSAI): This is a 16 month program (with 4 months of required co-op/unless you have a job). Tuition & Fees is $31,000 (Canadian Students) and $45,000 (for international students). GRE is not required. Strong Quant/CS background is required to qualify for this program. Minimum IELTS score of 7.5 overall and at least a 7.0 in writing and speaking is also required or a TOEFL score of 100.
  • Master of Mathematics (M.Math) in Data Science: This is focused more in research and thesis. The students in MMath will be funded and work with supervisor. GRE is not required. Minimum score of IELTS is 7.0 overall, with at least a 6.5 in writing and speaking, if you are planning for TOEFL then minimum requirement is a score of 90 in TOEFL.
Ryerson University

Ryerson University has excellent programs in Data Analytics. They have the Data Engineering program; this program focuses on training students with the necessary knowledge to develop innovative programs, computer control systems, and solutions to information processing problems. The Data Science program (Data Science and Analytics (MSc)) focuses primarily on the development of skills for the management of computerized systems,Machine learning, Operations research, Programming, Statistics which are in high demand from various companies. In this University, theoretical learning is combined with practice from the beginning. The estimated tuition fee for this program for the Canadian Students is $12,000 and for the International Students the tuition fees is $24,000.

General Requirements:

  • Applicants must have 4 year bachelor’s degree in Economics, Engineering, Business, and Science with a minimum grade of 3.00/4.33 (B) or equivalent
  • Applicants must meet the IELTS requirement score of 7.0
Saint Mary’s University

Saint Mary’s University offers the 16 months professional Masters Program in Data Analytics (The program is called Master of Science in Computing & Data Analytics (MSc CDA). This program prepares the students for a lucrative career in the data analytics and data science industry. In this program, students learn the various concepts of Business Analytics, Software Design, and Management and Analytics. The estimated tuition fee for this program for the Canadian Students is $19,000 and for the International Students, the tuition fees is $37,000. So far almost 100% of the graduates have received full time job offers from top companies around the world.

General Requirements:

  • Applicant must have 4 year Bachelor Degree in Computer Science with a GPA equivalent to 70%
  • A letter describing how the program will you in achieving your career goals
  • Applicants must clear the programming test successfully administered by the University
  • Applicants must clear the technical interview
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What is the Admission Process of Masters in Data Analytics in Canada?

If you are an international student, then you have to meet the following requirements:

  • TOEFL (IBT) Overall Score Requirement: 100
  • IELTS Overall Score Requirement: 7.0
  • Good CS/Mathematics background.
  • Is GRE required? – depends on program /university

You must be a graduate in Data Analytics or any subject related to it. Apart, you can visit the official website of the University you are applying to and must meet their eligibility criteria to fulfill the admission process.

At the end of the degree, graduates will be able to work on the development of systems and work networks without cables (Wireless), multimedia development, analysis and design of software, telecommunications, etc.

Data Science: Career options?

You study a selection of topics and learn how to extract relevant information from large databases and use them for critical business decisions. They also acquire the skills to develop and manage strategic marketing plans. Once toy have a degree and experience you could be hired as:

  • Analytics Engineer
  • Analytics Manager
  • Data Architect
  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Data Visualization Specialist
  • Business Intelligence (BI) Architect
  • Business Intelligence Engineer
  • Machine Learning/AI Engineer
  • Major recruiters are IBM, RBC, ScotiaBank, Statistics Canada, CIBC, Morgan Stanley.

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