Machine Learning Analyst Diploma
About the Machine Learning Analyst Diploma
Explore new ways to find solutions using artificial intelligence (AI) and machine learning (ML) technologies and algorithms. This program will fuel your passion for robotics, computer vision and data science.
You will learn the fundamental business acumen so you can work in multi-disciplinary teams to develop competitive business solutions that are based on modern strategies. Developing fundamental skills in AI and ML, such as data analytics and computer programming will be the focus of this program.
The Machine Learning Analyst Diploma program will prepare you for entry-level jobs creating business solutions for companies of all sizes.
Work-integrated Learning
Work-integrated learning opportunities will depend on the area of focus you choose. Learn more about the many types of experiential learning opportunities available at Red Deer Polytechnic through the Career Education and Experience Development Centre.
Related Careers
Students will be prepared to work in a variety of settings including technology companies, government, banking, power and energy industry, natural resources, consulting firms, health care, and more. Machine learning and data analytics are tools that are used by almost all businesses and sectors to transform data into functional business solutions. The program will prepare you for many different careers including:
Machine Learning Analyst
Machine Learning Technician
Data Analyst
Data Scientist
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.
Intakes
Fall (Domestic) - Start Date: Sep 04, 2024
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Spring (Domestic) - Start Date: May 01, 2025
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Fall (International) - Start Date: Sep 04, 2024
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Winter (Domestic) - Start Date: Jan 07, 2025
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Winter (International) - Start Date: Jan 07, 2025
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- Registration start date:
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Spring (International) - Start Date: May 01, 2025
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- Registration start date:
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NOTES:
- International students have to 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.
International Students: If you are an international student or 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.
Eligibility for admission to the Machine Learning Analyst Diploma program at Red Deer Polytechnic requires applicants to meet minimum academic requirements. Qualified applicants who meet all minimum requirements will be offered admission on a first-come, first-served basis.
Academic Requirements
Students applying to Machine Learning Analyst must have a minimum of 60% in:
ELA 30-1 or a minimum of 70% in ELA 30-2, or equivalent
A minimum of 50% in:
Mathematics 30-1 or Mathematics 30-2, or equivalent
Additional Requirements
Technology
This is a bring your own device program. Students will be required to obtain a laptop for completing course requirements.
English Language Proficiency
Applicants who declare English as first language are exempt from ELP requirements. Applicants whose first language is not English must demonstrate English Language Proficiency (ELP) for admission to credit programs by providing official documentation to the Office of the Registrar at international.admissions@rdpolytech.ca or by regular mail, after an online application has been submitted. All ELP tests must have been obtained within two years of the date their program starts. ELP requirements are in addition to the other admission requirements noted above.
Prior Learning and Transfer
Students presenting courses from other recognized post-secondary institutions may be granted transfer credit towards the Machine Learning Analyst Diploma, visit our Recognition of Prior Learning and Transfer Credit page to learn more.
Program Cost
These costs are an estimate of tuition and fees based on the recommended course load per year.
NOTE: Additional fees apply. View here for a detailed, estimated breakdown of tuition, non-instructional mandatory fees, health and dental plan costs, and estimated textbooks and supplies costs.
These costs are an estimate of tuition and fees based on the recommended course load per year.
NOTE: Additional fees apply. View here for a detailed, estimated breakdown of tuition, non-instructional mandatory fees, health and dental plan costs, and estimated textbooks and supplies costs.
Financial Aid Options
Student life can be very expensive, and few individuals have enough money to pay up-front for their post-secondary education.
Program Content
View our course guide for additional program and course information.
Program Courses
Graduation Requirements
Students must receive a passing grade in each course to progress through the program. Students must pass all courses and achieve a minimum 2.0 grade point average (GPA) to qualify for graduation.
Continuing and Professional Education
Further your career by advancing your existing skills through flexible courses, micro-credentials and programs.