Machine Learning Analyst

Program Overview

The Machine Learning Analyst diploma program at NorQuest College is designed to provide a flexible and industry-aligned education tailored for the modern workforce in data and artificial intelligence. This program equips students with essential skills to harness AI and data to solve complex problems across various industries. Graduates will emerge with a career-ready diploma, ready to meet the demands of the evolving job market in the AI era.

Program Structure

The Machine Learning Analyst program spans over 4 terms, providing a comprehensive education that combines technical training with business-focused learning. Key features of the program structure include:

• Hands-on experience through two work-integrated projects with local industry partners.
• Option to complete a paid 4-month co-op placement, offering 640 hours of practical experience.
• HyFlex delivery model allowing students to learn at their own pace, with the flexibility to take as few as one course at a time.
• Small class sizes ensuring personalized support from instructors.
• Transferability options for those wishing to continue their education with another diploma or degree.

This program is developed in partnership with the Alberta Machine Intelligence Institute (amii), ensuring that students learn from expert instructors in a leading AI research and innovation hub.

Featured Experiences

• Work-integrated projects that provide real-world experience and portfolio development.
• Opportunity to engage in a competitive co-op placement, enhancing employability.
• Access to a personalized learning environment with hands-on support.
• Collaboration with community partners to develop data-driven solutions.
• Learning from industry experts in a program that is the first of its kind in Alberta.

Career Options

Graduates of the Machine Learning Analyst program can pursue a variety of career paths in Canada, including:

• Machine Learning Engineer: Develops algorithms and models that enable machines to perform tasks without explicit programming.
• Machine Learning Developer: Focuses on creating software applications that utilize machine learning techniques to improve functionality.
• Data Analyst: Analyzes data sets to identify trends, develop insights, and support decision-making processes.
• Data Scientist: Combines statistical analysis and machine learning to interpret complex data and provide actionable insights.
• Business Intelligence Analyst: Utilizes data analysis tools to help organizations make informed business decisions based on data trends.

The skills acquired in this program are in high demand across various sectors, including technology, government, healthcare, and consulting, making it an excellent choice for those looking to enter the data-driven job market.

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