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Masters in Data Science in Canada

Masters in Data Science in Canada is a postgraduate-level program that focuses on applying statistical and computational methods to analyze and interpret data. A Master's degree in Data Science in Canada typically takes 1-2 years to complete, depending on the program and the institution. 

The number of intakes per year varies by institution, with some universities offering multiple intake periods. The average Masters in Data Science in Canada fees range from $15,000 - $30,000, depending on the institution and the program. Some may also offer scholarships or financial aid. The curriculum for a Masters in Data Science in Canada program typically includes coursework in statistics, programming, machine learning, and data visualization, with hands-on experience with data analysis and modeling. 

Why Study Masters in Data Science in Canada in Canada?

Canada is known to give students international exposure; moreover, there are several reasons why someone might choose to study a Master's in Data Science in Canada:

  • Quality education: Canada is known for its excellent higher education system, and universities offering Master's in Data Science programs are no exception. They have a strong curriculum that is designed to prepare students with the expertise and knowledge needed to succeed in the field of data science.
  • Career opportunities: With the increasing demand for data scientists, graduates of a Master's in Data Science program in Canada will have a wide range of job opportunities in various industries such as finance, healthcare, technology, and government.
  • International exposure: Canada is a multicultural country with a diverse population. Studying in Canada will allow students to interact with peers from different backgrounds and cultures, which can be valuable for their personal and professional development.
  • Support for international students: Canadian universities provide excellent support for international students. This includes academic advising, language support, and career services.
  • Cost-effective: Studying in Canada can be cost-effective compared to other study destinations, especially considering the low tuition fees and the availability of scholarships and bursaries.

Master's in Data Science in Canada: Course Highlights

Degree/ UniversityDurationAverage fees in CADCourse TypeGeneral EligibilityExam required
MSc Applied Computing- Data Science2 years57,870/ yearFull-time
  • Bachelor's degree
  • English proficiency test scores

 

GMAT or GRE Scores
MSc Data Science and Analytics2 years24,809/ yearFull time
  • Bachelor's degree
  • English proficiency test scores
GMAT or GRE Scores

MMath Data Science

Master of Data Science and Artificial Intelligence

2 years7,696/ termFull-time
  • Bachelor's degree
  • English proficiency test scores
GMAT or GRE Scores
Master of Data Science and Analytics1-2 years4,080/ 3 termsPart-time
  • Bachelor's degree
  • English proficiency test scores
GMAT or GRE Scores
MSc User Experience1-2 years30,000 (total)Full-time
  • Bachelor's degree
  • English proficiency test scores
GMAT or GRE Scores

 

Types of Masters in Data Science in Canada

There are several types of Masters in Data Science programs available to study in Canada. These include-

  1. Master of Science in Data Science: covers a wide range of topics in data science, including statistics, programming, machine learning, and data visualization. It usually requires a thesis or research project to be completed.
  2. Master of Applied Science in Data Science: focuses on the practical application of data science in a specific industry or field
  3. Master of Business Analytics: focuses on applying data science in the business context and includes economics and business data science.
  4. Master of Health Informatics: focuses on the application of data science in the healthcare industry.
  5. Master of Artificial Intelligence and Machine Learning: focuses on applying Artificial Intelligence and Machine learning techniques to analyze and interpret large data sets.
  6. Master of Data Analytics: focuses on applying data science techniques to extract insights from large and complex data sets. 

Best Universities for Masters in Data Science in Canada 

According to various ranking agencies such as QS World University Rankings, Times Higher Education, and U.S. News & World Report, the top 5 universities for masters in Data Science in Canada are:

  • University of Toronto: The University of Toronto is consistently recognized as the top university in Canada for a Master's in Data Science and is also highly ranked globally. The Department of Statistical Sciences offers the program.
  • University of British ColumbiaThe University of British Columbia is ranked among the top universities in Canada for a Master's in Data Science. The Department of Computer Science offers the program.
  • University of AlbertaThe University of Alberta is placed among the top universities in Canada for a Master's in Data Science. The Department of Computing Science offers the program.
  • McGill UniversityMcGill University is ranked among the leading universities in Canada for a Master's in Data Science. The School of Computer Science offers the program.
  • Simon Fraser UniversitySimon Fraser University is ranked among the top universities in Canada for a Master's in Data Science. The Faculty of Applied Sciences offers the program.

University requirements: 

The masters in Data Science in Canada requirements of the university mentioned above vary by institution but generally include the following:

  • Educational qualifications: Most universities require applicants to have completed a bachelor's degree in a related field, such as mathematics, statistics, computer science, or engineering. Some universities may also require a minimum grade point average (GPA) to qualify for the program.
  • Standardized tests: Many universities require applicants to take standardized tests such as the GRE (Graduate Record Examination) or the GMAT (Graduate Management Admission Test).
  • English language proficiency: For international students, English proficiency tests such as the TOEFL (Test of English as a Foreign Language) or the IELTS (International English Language Testing System) are usually required to demonstrate proficiency in the English language.
  • Technical requirements: Some universities may require applicants to have completed specific coursework in statistics, calculus, linear algebra, and programming languages such as Python or R to be considered for the program.

It's worth noting that the ranking of universities can vary depending on the ranking agency or the criteria used. Therefore, it's important to research and compare the different programs to find the one that best suits your needs and goals.

 

University NameQS World RankingAverage Fees in CADProgram offeredAdmission Deadline
Simon Fraser University#328 in QS World University Rankings 2023$22,000 to $28,000 per year
  • Master of Data Science program

 

  • Business Analytics
January 18th
McGill University#31 in QS World University Rankings 2023.$25,000 to $30,000 Per year
  • AI/ ML
  • Distributed Data management system
  • Mining biological sequence

 

January 31st.
University of Alberta#110 in QS World University Rankings 2023.$25,000 to $30,000 per year.
  • BIG Data
  • Mathematical and statistical sciences
March 31st
University of British Columbia#1201-1400 in QS World University Rankings 2023.$22,000 to $28,000 per year.
  • Data science and analytics
  • Special MDS Program
January 31st
University of Toronto#=34 in QS World University Rankings 2023.$25,000 to $30,000 per year.
  • Data Science concentration
April 30th

Course Curriculum of Masters in Data Science in Canada

The topics covered in a Master's in Data Science program in Canada vary depending on the institution and the specific program but generally include-

  1. Statistics: Topics such as probability theory, statistical inference, and statistical modeling are covered.
  2. Programming: Courses in programming cover topics such as programming languages (such as Python, R, etc.) and software development best practices.
  3. Machine Learning: covers topics such as supervised and unsupervised learning, reinforcement learning, and deep learning.
  4. Data Visualization: covers topics such as data design and data presentation.
  5. Data Management: covers topics such as data warehousing, data mining, and distributed systems.
  6. Ethics and Privacy: include courses covering the ethical and privacy concerns related to data science, such as data governance and privacy legislation.

Eligibility Criteria for Masters in Data Science in Canada

For masters in Data Science in Canada, admission eligibility is based on the following:

  • Universities mandate a minimum grade point average (GPA) to be eligible for the program.
  • Standardized tests such as the GRE or the GMAT.
  • English proficiency tests such as the TOEFL or IELTS are necessary.
  • Universities may want applicants to have completed specific course work in statistics, calculus, and programming languages.

Admission Requirements for Masters in Data Science in Canada 

  • Documents required: For masters in Data Science in Canada, requirements are mainly the documents required for admission to a Canadian university for a Master's in Data Science program. Though they vary by institution but generally include the following:
  • Completed application form: Most universities require applicants to complete an online application form, which may include personal information, academic background, and test scores.
  • Transcripts: Most universities require official transcripts from all previous post-secondary institutions attended and are to be sent directly from the institution to the university.
  • Standardized test scores: universities expect applicants to submit results from standardized tests such as the GRE or the GMAT.
  • English language proficiency: For international students, English proficiency test scores such as the TOEFL or the IELTS are usually necessary to demonstrate proficiency in the English language.
  • Additional application materials: Some universities may also require applicants to submit a statement of purpose, letters of recommendation, and a CV or resume as part of the application process.
  • Proof of identity: Most universities require a copy of a passport or other government-issued identification as proof of identity
  • Financial support documents: International students may need to submit financial support documents such as bank statements or a letter from a sponsor.

Exam Requirements for Masters in Data Science in Canada Admission

For Masters in Data Science in Canada, admission universities usually set a minimum grade point average (GPA). Standardized exams like the GMAT or the GRE. It is important to take English proficiency exams like the TOEFL or IELTS. Universities may demand that candidates have taken particular statistics, mathematics, and computer language courses.

Visa requirements and work experience

International students who hope to study at a Canadian university must obtain a student visa. The specific visa requirements for international students vary depending on their country of origin, the length of the program, and the type of institution they will be attending. In addition, some universities may require work experience to be eligible for a program. Please see the official University website for specific requirement details.

Admission Process for Masters in Data Science in Canada

For a Masters in Data Science in Canada, admission typically involves several steps.

  1. Research Universities and Check the requirements: Review the requirements and application deadlines for each program you are interested in.
  2. Complete the application form: Most universities require applicants to complete an online application form.
  3. Submit the required documents: Submit the necessary documents, such as official transcripts, test scores, and proof of English proficiency.
  4. Submit additional application materials: Some universities may also require applicants to submit a statement of purpose, letters of recommendation, and a CV or resume as part of the application process.
  5. Decision: Once the application is complete, the university will review the application and decide on admission. If the application is accepted, the university will issue an acceptance letter and instructions on how to apply for a student visa (if required).

Cost of Studying for Masters in Data Science in Canada

The cost of enrolling for a Master's degree in Data Science in Canada can vary depending on the institution and program. On average, international students can expect Masters in Data Science in Canada fees to be between $20,000 and $40,000 (CAD) per year for tuition and living expenses. However, some universities may charge more or less than this amount. It is also important to note that scholarships and financial aid may be available to help cover the costs of a Master's in Data Science program in Canada. 

In addition to tuition fees, international students will also need to budget for living expenses in Canada. These can include costs for housing, food, transportation, and other daily necessities. The cost of staying in Canada can vary depending on the location and lifestyle of the student, but on average, it can be around $1000- $1500 per month.

Pre-arrival costs, such as IELTS exam fees, may differ depending on where you take the test, but it could be around $300.

Scholarship for Masters in Data Science in Canada

There are several ways to secure scholarships for a Master's in Data Science in Canada:

  • Check with the university you plan to attend: Many universities in Canada offer scholarships and financial aid to international students, so it's a good idea to check with the institution you plan to attend.
  • Look for external scholarships: A number of organizations offer scholarships to foreign students studying in Canada, such as the Canadian government and private foundations.
  • Apply for graduate research programs: Some universities offer graduate research programs that fund students in exchange for working as research assistants.
  • Consider working part-time or doing an internship: Many universities in Canada offer work-study programs that permit students to work part-time on university grounds in exchange for funding.

Job Scope for Masters in Data Science in Canada

With a master's in data science from Canada, the scope for work is extensive and has a good ROI. You may look forward to a promising future and a high employment rate. In Canada, there are many openings for Master's in Data Science in Canada jobs. A data scientist can expect to make 79,820 CAD a year. You can also pursue a Ph.D. in data science in Canada.

Masters in Data Science in Canada jobsAverage Annual Salary (in CAD)
Data Analyst42,000-78,000
Business Intelligence Analyst50,000-82,000
Software Developer50,000-90,000
Data Engineer58,000-114,000
Senior Software Engineer80,000-132000

After graduating, you'll be able to find work with various multinational corporations, like Deloitte, Shopify, the National Bank of Canada, IBM Canada, etc. You can pursue careers as a data scientist, IT security expert, cyber security analyst, or information security adviser with its assistance.

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7 results found

MASTER OF DATA SCIENCE IN COMPUTATIONAL LINGUISTICS (MDSCL)

The University of British Columbia, Canada

University of British Columbia offers the MASTER OF DATA SCIENCE IN COMPUTATIONAL LINGUISTICS (MDSCL), a comprehensive Masters course designed to equip students with the ssential knowledge and skills in Language Studies. The course combines theoretical foundations with practical applications, enabling students to solve real-world challenges in Language Studies. With access to cutting-edge resources and mentorship from industry professionals, students will gain invaluable experience and emerge ready to excel in Language Studies careers in jobs such as Linguist, Language Teacher, Translator, Language Program Coordinator. ...Read more
  • DURATION
    1 year
  • FEES
    -
  • EXAMS
    -
  • INTAKE SESSION
    -

Master of Digital Transformation and Innovation with Concentration in Applied Data Science

University of Ottawa, Canada

This masters program in Canada will take you through the nuances of the field including Computer and Information Sciences over a period of 2 Years. It will help you becom a successful Software Developers, Designers, Front-End Developer, IT Product Manager, IT Marketing Manager, Strategist in the future after you are done with your course. You should check out this Master of Digital Transformation and Innovation with Concentration in Applied Data Science for future professional growth and other related pursuits. ...Read more
  • DURATION
    2 years
  • FEES
    INR 28.96L/yr
  • EXAMS
    IELTS-7.0
  • INTAKE SESSION
    SEP 2024

Master of Engineering In Applied Data Science

University of Victoria, Canada

The Master of Engineering In Applied Data Science offered by University of Victoria is a specialised Masters course that delves into the intricacies of Data Science. Thiscourse covers a wide range of topics enabling students to develop a deep understanding of the field. Through a combination of theoretical learning and practical applications, students will gain the skills necessary to tackle real-world challenges in Data Science. The course is designed to foster critical thinking, problem-solving abilities, and effective communication skills. Upon completion, graduates will be well-prepared to embark on successful careers in Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer and make meaningful contributions to the industry. ...Read more
  • DURATION
    1 year
  • FEES
    INR 16.85L/yr
  • EXAMS
    -
  • INTAKE SESSION
    SEP 2024

MEng/MASc/MCS/MI/MSc in Data Science and Analytics

Carleton University, Canada

Those desirous of pursuing their masters programs in Canada can check out the MEng/MASc/MCS/MI/MSc in Data Science and Analytics which covers a duration of 2 Years. This rogram will help aspirants gain a better understanding of several topics including Computer and Information Sciences) while they can expect to become qualified NA after they finish their program and gain some experience of the sector. This is a fulfilling career for all those interested in the subject. ...Read more
  • DURATION
    2 years
  • FEES
    INR 27.03L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    SEP 2024

Data Science and Analytics (MSc)

Toronto Metropolitan University, Canada

Toronto Metropolitan University in CAN offers the highly sought-after Data Science and Analytics (MSc), an advanced Masters program specialising in Data Science. This comrehensive course provides students with a strong foundation in the fundamental principles of Data Science and empowers them with advanced practical skills. The curriculum covers a broad spectrum of topics, ensuring students develop a deep understanding of the subject matter. Through hands-on projects and real-world applications, students gain invaluable experience and the necessary expertise to excel in Data Science. Graduates of Data Science and Analytics (MSc) are in high demand in CAN, as the program equips them with the proficiency to pursue diverse Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer roles. By enrolling in Data Science and Analytics (MSc) at Toronto Metropolitan University, students open doors to exciting career opportunities in the thriving Data Science industry. ...Read more
  • DURATION
    1 year
  • FEES
    INR 15.37L/yr
  • EXAMS
    -
  • INTAKE SESSION
    MAY 2024

Master of Science in Data Science

Thompson Rivers University, Canada

Those desirous of pursuing their masters programs in Canada can check out the Master of Science in Data Science which covers a duration of 2 Years. This program will helpaspirants gain a better understanding of several topics including Computer and Information Sciences) while they can expect to become qualified Strategic Analysis Manager, Data Architect Designers, Data Scientists, Data Analyst after they finish their program and gain some experience of the sector. This is a fulfilling career for all those interested in the subject. ...Read more
  • DURATION
    2 years
  • FEES
    INR 23.35L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    SEP 2024

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