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.
Students learn data visualization, statistical analysis, computational analysis, financial and energy markets, data science, adn more.
Langara College
Four part-time/full-time semesters
Data Analytics
NA
January, May, September
Bachelor’s degree/equivalent
English language proficiency
Douglas College
1 year
Data Analytics post-degree diploma
NA
NA
Undergraduate degree or equivalent
English language proficiency
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.
Career Boost program for part-time jobs
Career fairs, workshops, coaching, and more
30 credits in total
University of Waterloo
1 year or three terms
Graduate Diploma in Analytics
NA
NA
60% or Grade C in mathematics/calculus at senior secondary levels
Bachelor’s degree with GPA of 3.0
The degree should be in computer science/linear algebra/technology/statistics/calculus/computer programming
Those without these specializations may take additional courses or showcase professional work experience
Eligibility
A post graduate diploma program in data science has varying eligibility criteria across Canadian colleges. However, some general requirements can be listed below:
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.
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.
Colleges have varying GPA requirements .
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.
Fee
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.
FAQs
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.
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.
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