Traits, skills and aptitudes
Those working in the data analysis field are innovative, methodical and directive.
You need:
- an aptitude for and interest in statistics, artificial intelligence and databases
- an interest in applying scientific principles to solve practical problems
- the ability to analyze information and understand abstract relationships
- the ability to think logically, organize projects and carry them out
- the ability to work alone as well as with others
- the ability to communicate with individuals from different technical and cultural backgrounds
- attention to detail.
The ideal Data Analytics post-diploma certificate candidate has:
- a previous post-secondary diploma or degree in business, economics or finance
- a strong math background and foundational education in statistics
- worked with data and are intrigued by the power of data and how it can be analyzed to support sound business decision-making.
Previous experience working with databases is an asset.
To do well in this field, you should enjoy synthesizing data, applying statistical theories and methods and working with others to understand and solve problems.
Practicum, co-op and work integrated learning opportunities
During your capstone project, you’ll prepare a business case for an organization, complete a data analysis proposal, create a solution and present the results to the industry partner.
Specialized intakes
International bundle program
International applicants may only apply to this program as part of a program bundle - two programs delivered consecutively.
Applicants must meet the admission requirements of both programs in the bundle. A combination of education and experience will be considered.
Upon completing both programs in a bundle, you may qualify for a post-graduate work permit of up to three years. If you only complete one of the programs, you may be eligible for a one-year post-graduate work permit.
Data Analytics + Management and Leadership
You will complete the Data Analytics post-diploma certificate in the first year of study.
In the second year of study, you will complete a Management and Leadership certificate to prepare you to lead a team through disruptive change to the working environment.
Integrated Artificial Intelligence + Data Analytics
You will complete the Integrated Artificial Intelligence post-diploma certificate in the first year of study. Then, complete the Data Analytics post-diploma certificate in the second year of study.
Learn more about international bundle programs >
Credential
Upon successful completion of this program, you will receive a SAIT Data Analytics post-diploma certificate.
Accepts international applicants - Program bundle
This program only accepts international applicants if taken as part of a program bundle - two programs taken consecutively. Find available bundles that include this program under specialized intakes in the program overview.
If you complete both programs in the bundle, you will be eligible for a post-graduation work permit for up to three years.
Find available international program bundles and details.
Related careers
Our graduates may work in the following occupations. Some careers require additional experience and education.
Potential careers (NOC):
- Professional occupations in business management consulting (11201)
- Mathematicians, statisticians and actuaries (21210)
- Data scientists (21211)
- Business systems specialists (21221)
- Database analysts and data administrators (21223)
- Business development officers and market researchers and analysts (41402)
- Information systems specialists (21222)
Admission requirements - Applicants educated in Canada
Applicants must demonstrate English language proficiency and completion of the following courses or equivalents:
- a post-secondary degree or diploma from a recognized university, institute, or college.
A combination of education and experience will also be considered upon approval from the Academic Chair.
Application process
International bundle program applicants
International applicants can only apply to this program as part of a program bundle.
Once you have reviewed the admission requirements for both programs in this bundle, sign in to the application portal to begin your application.
When selecting your programs, your first choice should be the program delivered in year one. The second choice program will be the program delivered in year two.
The bundle is unavailable to domestic applicants, who may apply to the stand-alone program.
Program outline
The Data Analytics certificate requires 24 credits (eight courses) to complete.
The program spans as little as 18 weeks to a year, with two semesters per year.
Progression
You must attain a PGPA and/or a CGPA of 2.0 or better each semester and pass the prerequisite courses to progress through the program.
To qualify for graduation, you must pass all courses, attain a CGPA of 2.0 or better and complete course requirements within the prescribed timelines.
Review our grading and progression procedure >
Books and supplies
Books and supplies are approximately $1,000 - $1,500 per full-time year.
This is a bring-your-own-device program with a power-user hardware and software requirement. See the specific requirements on our computers and laptops page.
Find your booklist on the SAIT Bookstore’s website. The booklist will be available closer to the program start date.
Can’t find your program or course? The bookstore didn’t receive a textbook list. Contact your program directly to determine if they’re still refining course details or if you’re in luck; no textbook purchase is required this term.
Program outcomes
- Manipulate data using data science, modelling, ethics, and ETL in a business context relevant to decision-making.
- Contextualize data in a format that maps to business processes, and objectives and aligns data analysis to strategic outcomes.
- Build presentations that communicate data analysis effectively and accurately for a business audience using visualizations (dashboards) and storytelling.
- Perform statistical and algorithmic analyses on cloud-based and on-premise data sets using various tools and techniques.
- Explain the use of machine learning and artificial intelligence in data analysis.
- Use industry-recognized programs and tools to extract meaning from data.
- Demonstrate core strategic, tactical and operational business processes driven by data for evidence-based decision-making.
- Apply fundamental data analytics principles, aligning data and business processes to create accurate, actionable insights.
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