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Mandatory requirements

To apply for this program, you must have previously completed post-secondary studies at an accredited post-secondary institution or provide proof of related work experience.

Review admission requirements for more details.


Gain the knowledge, skills and aptitude to apply fundamental principles of data analytics. Learn to align data into business decision-making, creating accurate and meaningful storytelling with actionable insights, using a foundation of data management and ethics.

The ideal Data Analytics post-diploma certificate candidate has a previous post-secondary diploma or degree in business, economics, or finance. You have a strong math background and foundational education in statistics. You have 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.

The opportunity to advance your education by transferring into this program or gain credit for previous postsecondary courses may be available.

There may also be opportunities to further your education by transferring to another institution once you graduate.

Learn more about program and institution transfer options.

This program has a capstone project that allows students to complete a synthesis of the program outcomes and learn in a final, demonstrative manner.

International students who wish to take this program must do so as part of a bundled program. Upon successful completion of the program, you may qualify for a post-graduation work permit for up to a maximum of three years. 

Learn more about international bundle programs >

Upon successful completion of this program, graduates will receive a SAIT Data Analytics post-diploma certificate.

Download program info

Careers and opportunities

Our graduates may work in the following occupations. Some careers require additional experience and education.


Career counselling and support

Unsure which career path is for you? SAIT offers career planning services to help you decide your future.

You can also get started by taking our online career finder quiz, which can help you narrow down your search based on your current skills and interests.

Finally, you can also head to Alberta alis for various tools and resources, including additional quizzes and labour market information to help you narrow down a career path.

Services and workshops


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.

Course Credits

In this course, you will learn data manipulation and modelling skills. You will gain insights into the formats and styles of data that can be collected, developed and queried. Using data analysis, you will develop a story that can be communicated to inform organizational decisions.

  • DATA 4010

Introduces the use of data to meet the needs of an organization and apply data in decision-making. Understand a balanced approach to integrating data decisions in business processes and strategic alignment.

  • DATA 4100

Learn to use statistical methods to sort, summarize and gain insight into data. Learn various statistical methods to analyze data sets to communicate to business decision-makers.

  • DATA 4150

This IBM Skills Academy course will cover essential analytics models to collect and analyze data efficiently. This will require skills in predictive analytics models, such as data mining, data collection and integration, nodes, and statistical analysis. Tools for market research and data mining to predict problems and improve outcomes will be used.


Using Excel and associated plug-in tools, students will learn how this popular and industry-standard software program can be used effectively to analyze data. Running models and analysis tools within the Excel program to present processed data to decision-makers.

  • DATA 4450

This IBM Skills Academy course allows professional report authors to learn report-building techniques using relational data models. Attendees will also learn techniques to enhance, customize and manage professional reports.


In this course students will explore advanced data analysis concepts including machine learning, natural language processing, deep learning, artificial intelligence and probabilistic programming. Students will also examine trends in predictive and prescriptive analytics, as well as developments in IoT and cloud computing.


This capstone project for the Data Analytics program presents the framework for students to complete a synthesis of the program outcomes and learning in a final, demonstrative manner.



Students must attain a PGPA and/or a CGPA of 2.0 or better in each semester and pass the necessary prerequisite courses to progress through the program. To qualify for graduation, students 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 >

Admission requirements

Applicants educated in Canada

Applicants must demonstrate English language proficiency and meet the following requirements or equivalents:

  • post-secondary degree or diploma from a recognized university, institute, or college
  • a combination of education and experience will be considered upon approval from the Academic Chair.

All applicants who were educated outside of Canada must demonstrate English Language proficiency and provide proof they meet the program admission requirements with an international document assessment. Find out what educational documents are accepted and assessment options.

SAIT may also accept courses completed at certain international post-secondary institutions.


Academic Upgrading

Missing an admission requirement for this program? Upgrade your prior education to help you receive admission into one of SAIT's career programs.


English language proficiency

All applicants must demonstrate English language proficiency prior to admission, including students educated in Canada.

Learn more

Available intakes

Winter 2024

Start dates:

Domestic students: Open
  • Application deadline: Oct. 26, 2023

Spring 2024

Start dates:

Domestic students: Open
  • Application deadline: Feb. 23, 2024

Fall 2024

Start dates:

Domestic students: Open
  • Application deadline: June 28, 2024


2023/24 tuition and fees

The following costs are effective as of July 1, 2023. They are an estimate of tuition and fees based on the recommended course load per year.

Domestic students

Year Number of semesters Tuition fees Additional fees Total per year
1 2 $13,344 $1,570 $14,914
Total cost:

Year Number of semesters Tuition fees Additional fees Total per year
1 2 $16,745.28 $1,570 $18,315.28
Total cost:

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.


Financial aid

Paying for your education may feel overwhelming, but we have resources and programs that can help, including information about payment options, student loans, grants and scholarships.

Learn more

Application process


Ready to apply?

Follow our step-by-step guide to submitting a successful application.

Learn how to apply

Communication during admission

Email is the primary source of communication during the selection process. Ensure your personal email account is managed appropriately to receive our emails, files and communications. We recommend you add the sadt.advising@sait.ca domain to your safe senders' list or you risk missing critical email messages.

Information sessions

Prepare for a strong start in your chosen program or get the details you need to decide your future path.

Our expert staff and faculty are ready to answer your questions and provide information about the following:

  • What sets SAIT apart
  • An introduction to the program and area of study
  • Admission requirements
  • Future career paths
  • Information on the earning potential and graduate employment rates.

Contact us

Prepare for a strong start and get the details you need to make a decision about your future. Our expert staff and faculty are ready to answer your questions, and provide information about:

School for Advanced Digital Technology Advising


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