Master of Data Analytics Online 18 months Postgraduate Programme By University of Niagara Falls Canada |TopUniversities
Programme Duration

18 monthsProgramme duration

Tuitionfee

48,000 CADTuition Fee/year

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

Online

Data analysis is one of the fastest growing professions in Canada. The Master of Data Analytics program prepares you to step into a high-demand career as a big data professional.

Delivered over five terms, this graduate program gives you the technical and strategic skills needed to succeed. Through hands-on case studies and real-world business challenges, you’ll gain experience turning complex data into actionable insights. You will graduate ready to lead with confidence across sectors where data drives decisions.

Why study online?

It’s your education, tailor it to suit your life

  • No travel needed, study from anywhere
  • Enhance your online collaboration and communication skills
  • Support at every step from faculty and staff

Coursework will take place online, through UNF’s virtual campus using the same content and course materials as the on-campus program.

Get ahead in your career without hitting the pause button on life.

Specializations

Three program streams allow you to tailor your learning to suit your career ambitions and gain deeper problem-solving experience.

Marketing Analytics

Solve marketing-related problems in customer relationship management, product and pricing management, campaign performance and more.  

Operations Analytics

Use analytics to improve quality and optimize processes in manufacturing, supply chain management, project management, tourism operations, and health care delivery.

General Analytics

Apply analytics to multi-disciplinary problems in government, non-profits, research, consulting and many other fields.  

UNF online advantage

The MDA program provides core training in the data science lifecycle and opens the doors to a diverse range of career opportunities.  

Flexible by design

Study while working full-time. Choose flexible hours to fit around your personal or professional commitments.

Learn from the best, anywhere

Get mentored by world-class faculty and access top-notch resources and support – all from the comfort of your home.

Make an immediate impact

With a focus on practical skills you can use right away, apply what you’re learning into your daily life to become a stronger leader.

Boost your budget

Study from anywhere, so relocation is not necessary. Save on housing, transportation, parking, and no need to buy textbooks.

Master of Data Analytics online explained

Location

This is a fully online program. You can complete your coursework from anywhere.

Schedule

There will be no scheduled classes. Asynchronous learning means you can study at your own pace. All course materials will be made available at the start of term, except for exams and quizzes.

Timeline

Weeks 1-10: You will be able to access your course content online and complete tasks throughout this period.

Weeks 11-12: You will need to complete any review activities and final assessments, including exams and final projects.

Course content

Each course will have a syllabus as well as additional course materials that will be made available at the start of the term, except for exams and quizzes.

Participation

While components vary depending on the individual course, you can expect to use discussion forums and group chat platforms, participate in videoconferences, as well as utilize project management tools. There will be group assignments in addition to individual assignments.

Career outlooks

As businesses increasingly turn to machine learning to analyze vast amounts of data, the demand for skilled data analysts who can work with these algorithms is growing.  

According to Canada’s Job Bank, there will be a shortage of data analysts across Canada through 2029 – especially in Ontario. This is a global trend, as the US Bureau of Labour statistics predict the rise of Data Science will create roughly 11.5 million job openings by 2026 and a report by IBM estimated that by 2025, there will be more than 2.7 million job postings for data analysts and data scientists in the US alone.  

Career path and salary

  • Big data specialist - $122,100
  • Data manager - $136,257
  • Business analyst  - $130,617
  • Data visualization specialist - $110,000    
  • Customer intelligence analyst   - $96,827 

*Source, Talent.com 

Admissions

Academic information

Applicants must   meet the following minimum conditions for admission:

  • Bachelor’s Degree – Completion of a four-year   honours   degree standard with CGPA of 3.0 (on 4.33 scale) or better
  • Completed at least two undergraduate courses in statistics or quantitative methods

Document checklist

Applicants must submit:

  • A completed application form
  • Official transcripts from all post- secondary institutions attended
  • Official documentation confirming professional designations, where applicable
  • Proof of English language proficiency, if applicable

International information

Applicants who completed undergraduate studies outside Canada must also submit: 

  • Certified translations of any documents not in English
  • Documentation confirming award of their previous degree(s), if not already indicated on official transcripts
  • A credential evaluation from a recognized service, if required by the registrar

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

Online

Data analysis is one of the fastest growing professions in Canada. The Master of Data Analytics program prepares you to step into a high-demand career as a big data professional.

Delivered over five terms, this graduate program gives you the technical and strategic skills needed to succeed. Through hands-on case studies and real-world business challenges, you’ll gain experience turning complex data into actionable insights. You will graduate ready to lead with confidence across sectors where data drives decisions.

Why study online?

It’s your education, tailor it to suit your life

  • No travel needed, study from anywhere
  • Enhance your online collaboration and communication skills
  • Support at every step from faculty and staff

Coursework will take place online, through UNF’s virtual campus using the same content and course materials as the on-campus program.

Get ahead in your career without hitting the pause button on life.

Specializations

Three program streams allow you to tailor your learning to suit your career ambitions and gain deeper problem-solving experience.

Marketing Analytics

Solve marketing-related problems in customer relationship management, product and pricing management, campaign performance and more.  

Operations Analytics

Use analytics to improve quality and optimize processes in manufacturing, supply chain management, project management, tourism operations, and health care delivery.

General Analytics

Apply analytics to multi-disciplinary problems in government, non-profits, research, consulting and many other fields.  

UNF online advantage

The MDA program provides core training in the data science lifecycle and opens the doors to a diverse range of career opportunities.  

Flexible by design

Study while working full-time. Choose flexible hours to fit around your personal or professional commitments.

Learn from the best, anywhere

Get mentored by world-class faculty and access top-notch resources and support – all from the comfort of your home.

Make an immediate impact

With a focus on practical skills you can use right away, apply what you’re learning into your daily life to become a stronger leader.

Boost your budget

Study from anywhere, so relocation is not necessary. Save on housing, transportation, parking, and no need to buy textbooks.

Master of Data Analytics online explained

Location

This is a fully online program. You can complete your coursework from anywhere.

Schedule

There will be no scheduled classes. Asynchronous learning means you can study at your own pace. All course materials will be made available at the start of term, except for exams and quizzes.

Timeline

Weeks 1-10: You will be able to access your course content online and complete tasks throughout this period.

Weeks 11-12: You will need to complete any review activities and final assessments, including exams and final projects.

Course content

Each course will have a syllabus as well as additional course materials that will be made available at the start of the term, except for exams and quizzes.

Participation

While components vary depending on the individual course, you can expect to use discussion forums and group chat platforms, participate in videoconferences, as well as utilize project management tools. There will be group assignments in addition to individual assignments.

Career outlooks

As businesses increasingly turn to machine learning to analyze vast amounts of data, the demand for skilled data analysts who can work with these algorithms is growing.  

According to Canada’s Job Bank, there will be a shortage of data analysts across Canada through 2029 – especially in Ontario. This is a global trend, as the US Bureau of Labour statistics predict the rise of Data Science will create roughly 11.5 million job openings by 2026 and a report by IBM estimated that by 2025, there will be more than 2.7 million job postings for data analysts and data scientists in the US alone.  

Career path and salary

  • Big data specialist - $122,100
  • Data manager - $136,257
  • Business analyst  - $130,617
  • Data visualization specialist - $110,000    
  • Customer intelligence analyst   - $96,827 

*Source, Talent.com 

Admissions

Academic information

Applicants must   meet the following minimum conditions for admission:

  • Bachelor’s Degree – Completion of a four-year   honours   degree standard with CGPA of 3.0 (on 4.33 scale) or better
  • Completed at least two undergraduate courses in statistics or quantitative methods

Document checklist

Applicants must submit:

  • A completed application form
  • Official transcripts from all post- secondary institutions attended
  • Official documentation confirming professional designations, where applicable
  • Proof of English language proficiency, if applicable

International information

Applicants who completed undergraduate studies outside Canada must also submit: 

  • Certified translations of any documents not in English
  • Documentation confirming award of their previous degree(s), if not already indicated on official transcripts
  • A credential evaluation from a recognized service, if required by the registrar

Admission Requirements

18 Months
Oct

Tuition fees

Domestic
24,000 CAD
International
48,000 CAD

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

Frequently Asked Questions

Students entering the MDA program should have a background in business management, math or computer information systems and have completed at least two undergraduate courses in statistics or quantitative methods. Email our Student Recruitment Advisors at [email protected] for more information.
Yes! You can tailor the program to suit your desired career outcomes through one of three learning tracks: Marketing Analytics, Operations Analytics, or General Analytics.
There are several opportunities for you to gain practical experience through this program, including internships, work-integrated learning opportunities and capstone research projects. Attend one of our graduate program webinars to learn more directly from faculty members. Visit our events page to find the date for our next webinar.
We do not use standardized testing as part of the admission process for our graduate degrees. We look at your academic record from your undergraduate studies during the application process. See our admissions page for more information about our requirements. We do not use standardized testing as part of the admission process for our graduate degrees. We look at your academic record from your undergraduate studies during the application process. See our admissions page for more information about our requirements. We do not use standardized testing as part of the admission process for our graduate degrees. We look at your academic record from your undergraduate studies during the application process. See our admissions page for more information about our requirements.
This program is fully online. You will not have to attend our downtown Niagara Falls campus. Projects will be completed online, and you will be able to connect one-on-one with your professor virtually on a regular basis.
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