Artificial Intelligence And Data Analytics at Saskatchewan Polytechnic - Program overview

This program is currently under review and being updated. For the most up-to-date information, please contact us.

Program overview

Admission Requirements

Intakes

Last updated on 2025-08-01

Program overview

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Program overview

The Artificial Intelligence and Data Analytics program is designed to equip internationally-educated graduates with degrees in information and communications technology for careers in data analysis and machine learning. This program focuses on the ability to analyze vast amounts of data from various sources, enabling students to detect patterns and make predictions about future trends. By leveraging predictive analytics, businesses can enhance their decision-making processes in areas such as production, marketing, and development. The program aims to bridge the gap between technology and business, preparing students for the challenges of the evolving digital landscape.

Program structure

The Artificial Intelligence and Data Analytics program spans a duration of 32 weeks, with classes available in both Regina and Saskatoon. The program is structured to provide a comprehensive understanding of data analytics and machine learning, focusing on the following key components:

Conversion of business questions into data mining problems
Enterprise data architecture and associated technologies
Strategies to leverage the popular data science language Python
Application of artificial intelligence (AI) APIs to business applications
Ethical issues surrounding big data

Additionally, students have the opportunity to engage in various program options, including co-op placements and internships, which enhance their practical experience and employability in the field.

Featured Experiences

Hands-on experience with real-world data analytics projects
Opportunities for co-op placements to gain industry experience
Access to cutting-edge technology and tools used in data science
Collaboration with industry partners for joint projects
Workshops and seminars led by industry experts

Career Options

Data Scientist: Analyze complex data sets to inform business decisions and strategies.
Artificial Intelligence Analyst: Develop and implement AI solutions to improve business processes.
Prompt Engineer: Design and optimize prompts for AI systems to enhance their performance.
IT Project Manager: Oversee technology projects, ensuring they are completed on time and within budget.
Business Analyst: Evaluate business needs and recommend data-driven solutions to improve efficiency.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

Visit Saskatchewan Polytechnic official website

Last updated on 2025-08-01

Program overview

Academic Requirements

The admission requirements for the Artificial Intelligence and Data Analytics program at Saskatchewan Polytechnic are as follows:

A conferred bachelor's degree in any discipline.
A minimum GPA of 60%.

For international students, it is important to note that:

Transcripts may be required to be evaluated by WES in some cases.

Students are encouraged to contact LOA Portal's advisors for any clarification and support regarding the application process.

Additionally, the program does not specify any prerequisite courses that must be completed prior to admission.

International students should ensure they meet all necessary requirements and are advised to reach out to LOA Portal for assistance in navigating the application process.

Language Requirements

English is the language of instruction and examination at Saskatchewan Polytechnic. If your first or primary language is not English, and/or your country is not exempt, you will need to provide evidence of having the English language skills in speaking, listening, reading, and writing necessary to be successful in the Saskatchewan Polytechnic program to which you are applying.

Saskatchewan students graduating from Fransaskois and French Immersion high school programs are not required to meet further English Language Proficiency (ELP) requirements.

For the Artificial Intelligence And Data Analytics program, the following English language proficiency tests are accepted:

International English Language Testing System (IELTS), Academic Module: An overall band score of 7.0 with a 7.0 or higher in Speaking.
Test of English as a Foreign Language (TOEFL) – Internet-based (iBt): A minimum overall score of 90 with minimum sub-scores of 20 in Reading and Writing, 26 in Speaking, and 22 in Listening.
Canadian Academic English Language Assessment (CAEL): A minimum score of 70 with a minimum sub-score of 70 in all components.
Canadian Test of English for Scholars and Trainees (CanTEST): A minimum score of 4.5 in each of Listening, Reading, and Writing and a score of 5.0 or higher in Speaking.

Please check with our team for more details.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors. The listed minimum requirements are a guideline and do not guarantee admission. Do not worry, we will notify you of any changes during the application process.

Not meeting the minimum language requirements?

You may still be able to apply!

Last updated on 2025-12-06

Program overview