Artificial Intelligence and Data Analytics Post-Baccalaureate Certificate
About the Artificial Intelligence and Data Analytics Post-Baccalaureate Certificate
The Artificial Intelligence and Data Analytics Post-Baccalaureate Certificate (AIDA PBC) is designed for you to add machine-learning & data analytics skills to your existing degree. The Co-Op Specialization allows you the opportunity to network and apply knowledge through structured work experience.
In this program, you will learn the steps in the machine learning and data analytics process including;
data mining, text scraping, and sensor data collection
data preprocessing, exploratory analysis, and storytelling
developing machine learning algorithms and data systems
deploying models with security in mind
Graduate with the skills to perform data engineering & visualization, and design artificial intelligence solutions to enhance productivity in a variety of industries.
Co-op Specialization
The Co-op Specialization allows you the opportunity to network and apply knowledge through structured work experience. Most of the courses will be held in-person on RDP's Main campus, with a few available online.
Work-integrated Learning
The AIDA PBC and AIDA PBC Co-op both include WIL 2100 in Term 2. This course generally consists of a 100-hour work placement or an equivalent project that solves a problem or creates efficiency for an organization.
Weekly seminar discussions will connect Work-integrated Learning and classroom learning.
The AIDA PBC Co-Op also includes a required 420-hour (minimum) paid work term (COOP 2100) in Term 3, secured on a competitive basis.
To ensure workplace readiness, all students complete WIL 1100 in the first year, before placement. This module prepares you with skills such as resume writing and interview preparation.
Note: Students should be prepared to incur the costs of a work placement. This could include suitable attire, travel to and from the placement, and other incidentals.
Related Careers
Related positions include
Data Analyst
Machine Learning Analyst
AI Technologist
Business Intelligence Analyst
Data Consultant
Marketing Analyst
GIS (Geographic Information Systems) Technician
Machine Learning Specialists
Logistics Analyst
Meet the Faculty
At Red Deer Polytechnic we are proud of our faculty members and staff who are experts in their disciplines and subject areas.
Domestic Intakes
Fall 2025 - Open
- Application window:
-
- Registration start date:
- Fee payment deadline:
- First day of classes:
International Intakes
Fall 2025 - Open
- Application window:
-
- Registration start date:
- Fee payment deadline:
- First day of classes:
Note:
International students must pay their tuition deposit to receive their letters of acceptance
Important dates may change
Admission Requirements
Admission requirements for specific programs will often refer to Alberta Grade 12 course groups. Visit the Admission Requirements page for detailed group descriptions.
If you have completed your high school education outside of Alberta, please refer to our International Course Equivalencies page for information on how your coursework may align with our admission requirements.
Qualified applicants who meet all minimum requirements will be offered admission on a first-come, first-served basis.
Academic Requirements
Students applying to Artificial Intelligence and Data Analytics Post-Baccalaureate Certificate must have:
Successful completion of a 4-year Canadian degree in any discipline from a recognized institution or equivalent.
AND
BUS 2306: Business Statistics I OR STAT 1251: Introduction to Statistics, OR equivalent
Co-op Specialization Admission Requirements:
Students applying to the AIDA Post-Baccalaureate Certificate, Co-op Specialization must meet the above Academic Requirements.
Students interested in the Co-Op Specialization should apply directly, as there are limited seats available, and are required to meet the pre-requisites for COOP 2100 to continue with the Co-Op placement in their final term.
COOP 2100 is a required course in the Co-op Specialization. The pre-requisites for COOP 2100 include:
a minimum of 60 credits
good academic standing
completion of the CEED Work Readiness modules, and
a job offer with a suitable employer.
Note:
RDP cannot guarantee a Co-op placement if students are unable to secure a job offer
Students who do not meet the requirements for the Co-op specialization will be eligible to graduate with the Artificial Intelligence and Data Analytics Diploma.
Students taking COOP 2100 should be prepared to incur the costs of employment. This could include suitable attire, travel to and from work, and other incidentals
Additional Requirements
English Language Proficiency
Applicants whose first language is not English must demonstrate English language proficiency in addition to the program admission requirements.
Prior Learning and Transfer
Students may receive Recognition of Prior Learning in some courses where the learning of skills, knowledge or competencies has been acquired through work, formal and informal education or training, or self-study.
Recommended for Practicum Placements
While not an admission requirement for the program, some practicum agencies and field placements may require Police Information Checks of students working in their organizations. Information about obtaining Police Information Checks will be provided to students after they have been admitted to the program.
Recommended for Online Learners
While not an admission requirement for the program, to be successful, students should have basic computer skills, such as the ability to function independently on basic computer software programs and to carry out basic internet navigation.
Program Cost
These costs are an estimate of tuition and fees based on the recommended course load per year.
NOTE: Additional fees apply. See below for estimated breakdown of tuition, non-instructional mandatory fees, health and dental plan costs, and estimated textbooks and supplies costs:
Financial Aid Options
Explore financial aid options, including loans, scholarships, and awards.
Program Content
All students in the Administrative Professional Certificate program complete the same eleven courses plus a practicum in the Spring Term.
Program Course List
Graduation Requirements
AIDA PBC
Students must pass all courses and achieve a minimum cumulative GPA of 2.0 to graduate from the Artificial Intelligence and Data Analytics PBC.
AIDA Co-op Specialization PBC
Students must pass all courses including the Co-op Work Term (COOP 2100) and achieve a minimum cumulative GPA of 2.0 to graduate from the Artificial Intelligence and Data Analytics Co-Op Specialization PBC.
Students are initially admitted to the Artificial Intelligence and Data Analytics PBC. Students will change their program to the Co-op Specialization upon meeting the pre-requisites for COOP 2100. COOP 2100** is a required course in the Co-op Specialization. The pre-requisites for COOP 2100 include:
a minimum of 30 credits
good academic standing
completion of the CEED Work Readiness modules
and a job offer with a suitable employer.
Note:
RDP cannot guarantee a Co-Op placement if students are unable to secure a job offer
Students who do not meet the requirements for the Co-op specialization will be eligible to graduate with the Artificial Intelligence and Data Analytics PBC
Students taking COOP 2100 should be prepared to incur the costs of employment. This could include suitable attire, travel to and from work, and other incidentals.
Continuing and Professional Education
Further your career by advancing your existing skills through flexible courses, micro-credentials and programs.