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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.

Overview

Are you ready to unlock the potential of Artificial Intelligence (AI) and become an expert in AI systems integration and operation?  

Our one-year Integrated Artificial Intelligence program will equip you with the knowledge and skills needed to excel in this innovative realm.

This program may be for you if you have previously completed post-secondary studies or have related work experience.

In this program, you will:

  • acquire knowledge of ethical AI system design based on a deep understanding of ethical considerations, prioritizing fairness, transparency and accountability
  • evaluate real-world case studies and tackle hands-on projects to develop and deploy AI solutions across diverse industries such as healthcare, finance, energy and more
  • develop proficiency in implementing AI solutions that address real industry challenges with data science
  • learn to communicate effectively with stakeholders, team members and non-technical audiences and bridge the gap between technical expertise and business objectives
  • explore the crucial aspects of managing and analyzing data with a people-first approach and understand the significance of clean, reliable data in AI projects
  • develop the ability to identify AI opportunities, assess risks and make data-driven decisions
  • build technical and human skills that emphasize the fusion of technical expertise with human-centric skills
  • learn how to lead AI projects with empathy, teamwork and understanding of human behaviour and needs.

By enrolling in this computer science program, you'll take the first step toward a career in the AI industry.

Potential roles include an AI systems architect, a data scientist or a project manager.

Our Integrated Artificial Intelligence program will empower you to thrive in this rapidly growing field. Your future in the world of AI awaits.

Those working in the artificial intelligence field tend to be innovative, objective and directive. 

You need:

  • analytical skills
  • technical aptitude
  • effective communication
  • ethical awareness
  • speaking and writing skills
  • an inquiring and inventive mind
  • an eye for details
  • patience and an organized approach to troubleshooting
  • decision-making and problem-solving skills
  • business acumen
  • an aptitude for math and science
  • teaching skills
  • time-management skills.

To do well in this field, you should enjoy being innovative, working with others or independently, and being precise in your work.  

You'll complete a capstone project where you'll address a real-world AI challenge in a safe-to-fail environment.

You can also complete an optional work term after semester two. This work placement includes full-time paid employment. 

Upon successful completion of this program, you'll receive a SAIT Integrated Artificial Intelligence post-diploma certificate.

Download program info

Careers and opportunities

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

Associated National Occupational Classification (NOC) codes: 21211, 21220, 21222, 21221, 21232, 21231, 21311.

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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.

Take our career finder quiz

Courses

The Integrated Artificial Intelligence post-diploma certificate requires 30 credits (10 courses) to complete.

The program spans 30 weeks (42 weeks for those who choose to participate in the optional co-op work term), with two semesters. International students must participate in the work term to be eligible for the PGWP. 

All courses must be completed within this timeframe. 

View classes by semester

Course Credits

This course is designed to give students the skills necessary to build, deploy and manage AI applications on the web and in cloud environments. This course covers both the technical and practical aspects of web development and cloud computing, and emphasizes the importance of using these technologies to create secure, scalable and accessible AI systems.

3

This course is designed to provide students with an understanding of the ethical and social implications of AI, and to promote the development of AI systems that are aligned with human values and interests. The course emphasizes a human-first approach to the implementation and deployment of AI systems.

3

This course course is designed to provide students with a comprehensive understanding of the techniques and algorithms used in Natural Language Processing (NLP), a sub-field of AI that focuses on the interaction between computers and humans using natural language.

Pre-requisites:
  • ARTI 406
  • STAT 400
 3

This course is designed to provide students with a comprehensive understanding of the techniques and algorithms used in computer vision, a sub-field of AI that focuses on teaching computers to interpret and understand visual information from the world.

Pre-requisites:
  • ARTI 404
  • ARTI 406
 3

This course is designed to provide students with a comprehensive understanding of the processes and best practices required to manage and maintain AI systems and applications.

Pre-requisites:
  • ETHI 401
 3

The Predictive Analytics & Modeling AI course is designed to provide students with a comprehensive understanding of the techniques and algorithms used in predictive modeling and data analysis. The course covers the fundamental concepts of machine learning and statistical modeling and emphasizes their applications in AI.

3

The second-level Predictive Analytics & Modeling course is designed to build upon the foundation of the first-level course, taking students to a deeper level of understanding and mastery of predictive modeling and data analysis. This course covers more advanced topics in predictive modeling, including deep learning, reinforcement learning, and neural networks. Students will learn about the latest techniques and algorithms used in these areas and will gain hands-on experience using these methods to build predictive models.

Pre-requisites:
  • ARTI 406
  • DATA 440
  • STAT 400
 3

This course is designed to provide students with a comprehensive understanding of the ethical, legal and regulatory considerations surrounding the development and deployment of AI systems. The course covers a wide range of topics, including data privacy, algorithmic bias, transparency, and accountability.

3

This course is designed to provide students with the opportunity to apply the knowledge and skills they have gained throughout the program to real-world AI projects and applications in a "safe to fail" environment. This course emphasizes hands-on learning and provides students with the chance to work on projects that address real-world AI challenges and problems using the skills they are developing in their other courses.

Pre-requisites:
  • ARTI 404
  • DATA 440
  • ETHI 401
 3

This course teaches R and introduces Python and is designed to provide students with a comprehensive understanding of statistical techniques and their applications in the field of AI. The course covers the fundamentals of statistics, including descriptive statistics, probability theory, hypothesis testing, and regression analysis. Students will learn how to use statistical techniques to analyze and interpret data and will gain hands-on experience using the R programming language to perform statistical analyses.

3

Course Credits

This cooperative work term course provides the opportunity to apply your classroom learning in a practical workplace setting, as well as gain valuable industry experience. This course is optional.

Pre-requisites:

One of the following sets of pre-requisites, as applicable to your program of study:

Information Technology Services

  • CPNT 224, CPRG 217, CPSY 204, CPSY 206, and PHIL 241

Software Development

  • CPRG 211, CPRG 250, CPSY 200, CPSY 202, and PHIL 241

Information Systems Security

  • ITSC 204, ITSC 205, ITSC 206, ITSC 302, and LAWG 200

New Media Production & Design

  • MMDA 225, MMDA 237, MMDA 243, MMDA 244, and MMDA 247

Film and Video Production

  • FVDO 250, FVDO 252, FVDO 254, FVDO 256, and FVDO 258

Journalism

  • JOUR 251, JOUR 254, JOUR 258, PHOT 256, and PUBL 261

Interactive Design

  • CPRG 218, DSGN 221, DSGN 227, MMDA 203, and PMGT 200

Integrated Artificial Intelligence

  • ARTI 407, ARTI 408, ARTI 409, DATA 480, and PROJ 407
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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 > 

Admission requirements

Applicants educated in Canada

Applicants must demonstrate English language proficiency and completion of the following courses or equivalents:

  • a diploma or degree from an accredited post-secondary institution in one of the following subject matter areas with a minimum cumulative GPA of 2.3 (67% or C+)
    • Information Technology
    • Computer Science
    • Data Analytics
    • Software Development

A combination of education and professional experience may be considered in place of the above at the discretion of 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.

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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.

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English language proficiency

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

Learn more

Transfer agreements

At SAIT, we evaluate post-secondary credit you have previously earned and apply it to your SAIT credential. Explore our formal transfer agreements available for this program.

We can evaluate your prior education, even if we don't have a formal agreement in place.

Submit a transfer credit application

There are no formal transfer agreements currently in place for this program.

Transfer options for graduates

Build on the knowledge you’ve learned at SAIT. The opportunity to advance your education at an accredited post-secondary institution may be available.

🔗 Visit Transfer Alberta search tool for all transfer agreements in Alberta (including UCalgary, MRU and BVC).

If there are transfer agreements with other institutions outside of Alberta, nationally or internationally, they will be listed below.

Available intakes

Spring 2025

Start dates:

  • May 05, 2025
Domestic students: Open
  • Application deadline: April 30, 2025
International students: Open
  • Application deadline: March, 28 2025

Fall 2025

Start dates:

  • Sep 02, 2025
Domestic students: Open
  • Application deadline: June 30, 2025
International students: Open
  • Application deadline: May 30, 2025

Costs

2024/25 tuition and fees

The following estimated costs are effective as of July 1, 2024.

Domestic students

The estimated total cost of tuition and fees for domestic students is based on the recommended course load per year.
Year Number of semesters Tuition fees Additional fees Total per year
1 2 $18,000 $1,608 $19,608
Total cost:
 $19,608

The estimated total cost of tuition and fees for international students is based on the recommended course load per year.
Year Number of semesters Tuition fees Additional fees Total per year
1 2 $21,990 $1,608 $23,598
Total cost:
 $23,598

Books and supplies are approximately $1,500 per full-time year. The required textbooks will be discussed in class.

This is a bring-your-own-device program with a custom computer hardware and software requirement. You can choose to use a PC or Mac computer.

PC computer minimum requirements

  • i7 processor
  • 32 GB RAM
  • 512 GB SSD storage
  • Nvidia Quadro T1000 video card
  • 15" screen size
  • 1920x1080 screen resolution
  • Windows 10 Pro 64-bit operating system

Suggested model: Lenovo ThinkPad P1 Gen 3 Approximate cost: $3,000

Mac computer

  • i7 processor
  • 16 GB RAM
  • 512 GB SSD storage
  • AMD Radeon Pro video card
  • 15" screen size
  • 1920x1080 screen resolution
  • Mac OS Catalina or newer operating system

Suggested model: Macbook Pro Approximate cost: $2,750 

Required equipment/tools

You'll require a cloud computing service subscription to CloudMyLab, approximately $800 - $1,200 per year.

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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
Alberta Job Grant

This program is eligible for Canada Alberta Job Grant funding.

Application process

International bundle program applicants

International applicants who wish to apply for this program as part of a program bundle should review the admission requirements for both programs and then sign in to the application portal to begin their 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.

International applicants who wish to take this as a stand-alone program must complete the co-op work term to be eligible for a PGWP.

The bundle is not available to domestic applicants.

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.

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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. 

Apply now

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

403.284.8543
sadt.advising@sait.ca

International Student Advising

403.284.8852
international@sait.ca
a view of the moutains and stream in between

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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.

Visit Natoysopoyiis Resource Centre