Applied Data Science And Artificial Intelligence

Program overview

The Applied Data Science and Artificial Intelligence program is a two-year diploma designed to equip students with the essential skills needed in the rapidly evolving fields of data science and artificial intelligence. This program focuses on developing technical and analytical abilities to design and implement practical AI and data solutions. Students will engage in hands-on learning, gaining a strong foundation in programming, mathematics, analytics, and machine learning. The curriculum emphasizes responsible AI development, including privacy-aware design and ethical deployment of AI systems. With options for September and January intakes, this program prepares graduates for a variety of roles in data analytics and AI development.

Program structure

The Applied Data Science and Artificial Intelligence program is structured as follows:

• Program Length: Two years, delivered over four terms.
• Intake Options: September and January.
• Location: Exchange District Campus, Winnipeg.
• Work Integrated Learning (WIL): Mandatory term that includes either a Co-op Work Experience or an Industry Project.
• Class Schedule: Classes typically run between 8:00 a.m. and 6:00 p.m., with some classes possibly extending into the evening.
• Delivery Format: Blended format, typically 50% on-campus and 50% online/remote.
• Technical Requirements: Students are required to provide their own laptop that meets the program’s technical specifications.

Spring terms are generally scheduled breaks, but WIL may occur during this period, and a limited number of courses may be offered based on student needs.

Featured Experiences

• Hands-on Learning: Students engage in practical projects that address real-world problems.
• Work Integrated Learning: A mandatory term that provides valuable professional experience through Co-op placements or Industry Projects.
• Modern AI Tools: Students work with contemporary AI tools and automation technologies.
• Ethical AI Development: Emphasis on responsible and secure AI practices, including data governance and privacy-aware design.
• Collaboration Skills: Development of essential employability skills, including communication and teamwork.

Career Options

Graduates of the Applied Data Science and Artificial Intelligence program can pursue various career paths in Canada, including:

• Data Analyst: Analyze data sets to identify trends and insights that inform business decisions.
• Machine Learning Engineer: Design and implement machine learning models to solve complex problems and improve systems.
• AI Developer: Create intelligent applications that utilize AI technologies to enhance user experiences.
• Data Engineer: Build and maintain the infrastructure required for data generation and processing.
• Business Intelligence Analyst: Use data analysis to support strategic decision-making and improve business performance.

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