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PG Diploma in Data Analytics in Canada- Things to Know

Updated on 05 May, 2023

upGrad Abroad Team

upGrad Abroad Team

upGrad abroad Editorial Team

Are you planning to pursue PG diploma in data analytics in Canada? The timing is spot-on since the world is witnessing huge demand for skilled data analysts in various industries. Multiple companies are turning to data analytics as a means of leveraging their generated/gathered data for rich insights and, better decision-making. 

In such a scenario, a diploma in data science or analytics will be a gateway to a rewarding future career. Canada is no exception to this trend. Building up your skills in this exciting new field is possible with the right course. Which one do you choose? Here’s taking a look at the available options. 

Post Graduate Diploma in Data Analytics in Canada- Top Programs & Colleges 

Want to pursue a post-graduate diploma data analytics course? Here are some of the top options for you in Canada: 

Name of the InstitutionDurationProgram NameFeesAdmission IntakesEligibility CriteriaOther Considerations (if any)
Lambton College2 yearsBig Data Analytics$26,450  
  1. Ontario College Graduate Certificate.
  2. Two-year Co-Op program.  
  3. Course covers big-data tech, decision-making, project management, information administration, business communications, data analytics, cloud computing, etc. 
Georgian College12 Compulsory CoursesBig Data AnalyticsNA NA
  1. Post- secondary degree/diploma/equivalent
  2. Specialization in business, mathematics, science, technology, or engineering
  1. Ontario College Graduate Certificate
  2. Data visualization and interpretation is a main component of the course. 
  3. Students also cover data programming, business intelligence, and business processes. 
University of Calgary24 units of coursework. 4-8 months with maximum of 3 years Data Science and Analytics DiplomaNASeptember 
  1. GPA of 3.0 (minimum)
  2. Four-year baccalaureate degree/equivalent
  3. Should have undergraduate course in either programming/computer science, or statistics, calculus and linear algebra
  4. English language proficiency requirements 
  1. Students learn data visualization, statistical analysis, computational analysis, financial and energy markets, data science, adn more. 
Langara CollegeFour part-time/full-time semestersData AnalyticsNAJanuary, May, September
  1. Bachelor’s degree/equivalent
  2. English language proficiency
Douglas College1 yearData Analytics post-degree diplomaNANA
  1. Undergraduate degree or equivalent
  2. English language proficiency
  3. Those with degrees in fields other than Technology, Statistics/Mathematics, Business, or Science, will have to prove proficiency in Technology/Business with additional coursework/professional work experience. 


  1. Career Boost program for part-time jobs
  2. Career fairs, workshops, coaching, and more
  3. 30 credits in total
University of Waterloo1 year or three termsGraduate Diploma in AnalyticsNANA
  1. 60% or Grade C in mathematics/calculus at senior secondary levels
  2. Bachelor’s degree with GPA of 3.0
  3. The degree should be in computer science/linear algebra/technology/statistics/calculus/computer programming
  4. Those without these specializations may take additional courses or showcase professional work experience


A post graduate diploma program in data science has varying eligibility criteria across Canadian colleges. However, some general requirements can be listed below: 

  1. An undergraduate degree (three/four-year, depending on the college) with specialization in computer science, programming, business, technology, mathematics, statistics, calculus, linear algebra, technology, or any equivalent for some institutions. 
  2. Some institutions allow admissions for those not specializing in the above-subjects, if there is an additional coursework option chosen, or sufficient work experience is demonstrated. 
  3. Colleges have varying GPA requirements . 
  4. English language proficiency scores are required. Most colleges require IELTS 6.5 or higher. They also take scores of other English language proficiency tests. 

A PG diploma in data analytics in Canada will require you to meet such criteria while applying. 

Duration of the programs

Most programs are one-year courses. Some span four to eight months, while some go up to two or even three years. 

Application Cycle

Admissions open for September, January, and May every year. These are the three admission sessions, with varying intakes across colleges. 


Fees vary across institutions, although an average of CAD 13-30,000 can be taken. 

Job prospects

Data analysts earn an average of $68,425 per year, according to Payscale. Entry-level jobs usually pay $51,980 annually, while the highest positions have salaries going up to $93,957 each year. Leading recruiters for data analysts in Canada include Epsilon Solutions Ltd, Robertson & Company Ltd, Capgemini, Quantum Management Services Ltd, Roevin, Nuovo Artistic Photography, and others. Some job profiles include data analysts, data engineers, business intelligence analysts, and more. 


Can I get admission to a PG Diploma in Canada?

Yes, you can get admission into PG diploma programs in Canada after completing your three or four-year bachelor’s/undergraduate educational course. You should also adhere to other requirements of your chosen institutions, including English language proficiency and GPAs. 

Which PG diploma course is best in Canada?

Some of the best PG diploma programs in the country include computer science, data analytics, information technology, wireless networking, pharmacy, information systems, biotechnology, nursing and midwifery, logistics and supply chain management, and more. 

Can I do Data Analytics after my diploma?

Yes, you can opt for a data analytics program after completing your diploma. Some institutions accept candidates with diplomas or equivalent programs after the 12th standard in school. Those from science or mathematics backgrounds may apply for data science or analytics courses at the diploma, certification, or graduation levels. 

upGrad Abroad Team

upGrad abroad Editorial Team

We are a dedicated team of study-abroad experts, ensuring intensive research and comprehensive information in each of our blogs. With every piece written, we aim at simplifying the overseas education process for all. Our diverse experience as journalists, content writers, editors, content strategists, and marketers helps create the most relevant and authentic blogs for our readers.

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