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.
Overview
In today's data-driven landscape, the ability to harness the power of data analysis is an invaluable skill.
Data is playing an increasingly pivotal role in shaping business strategies. This post-diploma certificate program will equip you with the knowledge, skills, and aptitude to unlock the world of data science.
You'll gain a deep understanding of fundamental principles in data analytics, setting the stage for a successful career in this exciting field.
In this program, you will learn:
- how to seamlessly integrate data into the decision-making process
- to transform raw data into actionable insights that drive business success
- data visualization techniques to convey complex information clearly and concisely
- data mining and predictive analytics to unearth hidden patterns and foresee future trends
- advanced concepts in data analytics
- to work confidently with industry-recognized data analytics solutions
- problem-solving skills that are highly sought after in data-intensive industries
- to use data to tell a compelling and meaningful story
- to effectively integrate data into reports and other materials
- the importance of ethical data management and data security.
As a graduate, you'll be well-prepared for a range of exciting roles in applied science, including data analyst, business analyst, market research analyst, financial analyst or healthcare analyst.
Our Data Analytics program opens doors to a world where data isn't just information — it's the key to innovation and success.
Those working in the data analytics 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 in teams as well as alone
- 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 is 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.
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 or within a simulated professional context.
This program is available to international applicants as a stand-alone program or as part of a program bundle - two programs delivered consecutively.
For details on available bundles including this program, see international bundle programs.
Upon successful completion of this program, you will receive a SAIT Data Analytics post-diploma certificate.
Careers and opportunities
Each year, SAIT conducts a survey between February and April to determine the employment rate, salary and satisfaction of our newest SAIT alumni.
74% graduate employment rate
$77,500 average starting salary
Find out more about our graduate employment statistics >
Our graduates may work in the following occupations. Some careers require additional experience and education.
Associated National Occupational Classification (NOC) codes: 11201, 21210, 21211, 21221, 21223, 41402, 21222.
Career planning support
Unsure which career path is for you? Here are some recommended career planning resources to help you decide your future.
You can also head to Alberta alis for lots of information about careers in Alberta, including quizzes and labour market information to help you narrow down a path.
Finally, you can take our online career finder quiz, which can help narrow your options based on your current skills and interests.
Courses
The Data Analytics certificate requires 24 credits (eight courses) to complete.
The program can be completed:
- full-time in two 15-week semesters (regular stream),
- fast-tracked in one 15-week semester (accelerated stream), or
- part-time in the evenings across three 15-week semesters (part-time evening online stream).
| Course | Credits |
|---|---|
|
This course aims to equip students with essential data manipulation and modeling techniques. It explores various data formats and styles, enabling students to understand data extraction, transformation and loading the datasets. Students will learn to refine and query data from the databases using query language. Through the lens of data analysis, students will craft informative narratives to aid organizational decision-making. Equivalents:
|
3 |
|
Introduces the use of data and programming fundamentals 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. Equivalents:
|
3 |
|
Using statistical techniques to arrange, extract, transform, and load datasets to gain insight from data. Students will learn a diverse range of statistical methods and analyze datasets with the purpose of effectively conveying information to business decision-makers. Equivalents:
|
3 |
|
This course focuses on fundamental predictive analytics using programming languages. It entails proficiency in predictive analytics models, encompassing data mining, data aggregation, integration, and data visualization. Students will also explore the application of market research and data mining techniques to anticipate challenges and enhance results. |
3 |
|
This course aims to provide students with a comprehensive understanding of data analysis principles and methods, employing widely recognized industry tools and techniques. Students will gain the skills to proficiently utilize data analysis tools and deliver refined insights by engaging in hands-on exercises and using industry standard analytical tools to inform decision-makers. Equivalents:
|
3 |
|
This course provides students with a comprehensive understanding of data visualization concepts and techniques by leveraging industry-standard business intelligence software. Students will also gain knowledge in enhancing, customizing, and effectively managing professional reports. |
3 |
|
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. |
3 |
|
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. |
3 |
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.
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.
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 accepted educational documents 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.
Transfer agreements
At SAIT, we have created transfer agreements with partner institutions to allow you to earn course credits toward your SAIT program based on your previously completed credentials.
Transfer Alberta search tool
Use the Transfer Alberta search tool to see all transfer agreements between Alberta post-secondary institutions (including those with the University of Calgary, Mount Royal University and Bow Valley College.)
Search transfer agreements in Alberta
Transfer options for graduates
When you have completed this program, you may continue your education at a partner post-secondary institution. These transfer agreements include partnerships within and/or outside of Canada.
Available intakes
Program start dates may vary. If you don’t see a start date listed, it’s either not offered or not yet open for applications.
Status definitions
The application pool is reviewed daily and the intake status' may change at any time based on seat availability.
- Open: Seats are available and applications are still being accepted.
- Waitlisted: Seats are tentatively full, but applications are still being accepted. By applying, you'll join the waitlist for the next available seat. There is no guarantee a seat will become available.
- Closed: Seats are full and the waitlist is at capacity or the application deadline has passed. Applications are no longer being accepted.
Spring 2026
Start dates:
- Domestic students: Open
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Application deadline: March 10, 2026
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- International students: Open
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Application deadline: March 27, 2026
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Fall 2026
Start dates:
- Domestic students: Open
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Application deadline: June 30, 2026
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- International students: Open
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Application deadline: May 29, 2026
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Winter 2027
Start dates:
- Domestic students: Open
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Application deadline: Oct. 23, 2026
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- International students: Open
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Application deadline: Oct. 9, 2026
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Costs
2025/26 tuition and fees
The following estimated costs are effective as of July 1, 2025.
The estimated total cost of tuition and fees is based on the blended or online suggested schedule of study. Following the part-time evening or accelerated streams will impact the fees you pay per semester and may alter final costs.
Domestic students
The program total is based on the estimated amount you will pay if you enter this program during the 2025/26 academic year. The program total amount listed on your letter of admission may appear higher. This amount is your maximum tuition guarantee for the program. SAIT will not exceed this maximum, regardless of changes in tuition and fees between academic years.
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.
Application process
Ready to apply?
Follow our step-by-step guide to submitting a successful application.
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.
Begin your application
Apply now using the online application portal.
Ensure you have a valid Visa or Mastercard to pay the non-refundable application fee of $120 for domestic applicants or $175 for international applicants.
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
School for Advanced Digital Technology Advising
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Phone - 403.284.8543
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Email - sadt.advising@sait.ca
International Student Advising
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Phone - 403.284.8852
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Email - international@sait.ca
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Oki, Âba wathtech, Danit'ada, Tawnshi, Hello.
SAIT is located on the traditional territories of the Niitsitapi (Blackfoot) and the people of Treaty 7 which includes the Siksika, the Piikani, the Kainai, the Tsuut’ina and the Îyârhe Nakoda of Bearspaw, Chiniki and Goodstoney.
We are situated in an area the Blackfoot tribes traditionally called Moh’kinsstis, where the Bow River meets the Elbow River. We now call it the city of Calgary, which is also home to the Métis Nation of Alberta.