Artificial Intelligence Leadership and Management

Description

Artificial intelligence (AI) has the extraordinary power to transform industry operations, customer experience, as well as product and service design. The opportunity to implement artificial intelligence crosses across every sector - both locally and internationally.

Harnessing the potential of artificial intelligence for competitive performance requires a new type of professional. One who not only understands the capacity of the science, but has the expertise to apply it to organizational needs and strategies, and the leadership skills to navigate through the ethical, economic, and societal implications of artificial intelligence implementation. 

Career Opportunities

The program gives students the opportunity to acquire deeper knowledge and skills in the field of artificial intelligence. This is a relatively new area of practice that is expected to provide ample employment opportunities for program graduates in various inter-disciplinary positions in many business functional areas, both locally and globally, such as Marketing, Finance, Economics and Human Resources.

The program will allow students to gain a more in-depth understanding of the impact of artificial intelligence on the different work areas of any size business.

Program Learning Outcomes

The graduate has reliably demonstrated the ability to:

1. implement business strategies that translate an artificial intelligence organization’s vision into operational plans;
2. interpret and apply financial information to determine risk, cost-benefit and liability of projects and operations within the artificial intelligence industry;
3. employ innovative strategies through systems design thinking and the ideation process to further explore and develop opportunities in the artificial intelligence industry;

4. analyze business data to inform strategies that improve customer relationships and promote lean operations;

5. identify and present innovative solutions that help individuals and organizations become more agile and effective during change initiatives;

6. develop and implement training opportunities to create and maintain high-performance local and virtual work teams;

7. apply decision-making and problem-solving techniques to support and enhance business processes and related policies in alignment with best practices of the artificial intelligence industry;

8. enhance active listening, written, oral, and presentation skills through interpersonal and technological applications in order to promote effective communication within an organization;

9. identify and apply discipline-specific practices that contribute to the local and global community through social responsibility, economic commitment, and environmental stewardship;

10. embed ethical decision-making into organizational strategy to minimize risk to the economy and society when implementing artificial intelligence technology into any process;

11. perform work in compliance with relevant statutes and regulations governing artificial intelligence business practices;

12. analyze and apply organizational structures, roles, and governance models within Canadian business contexts to enhance collaboration, accountability, and operational effectiveness;

13. integrate culturally responsive leadership and communication strategies to promote diversity, engagement, and organizational innovation in Canadian business environments.

Program Progression

The following reflects the planned progression for full-time offerings of the program.

Fall Intake

• Sem 1: Fall 2026
• Sem 2: Winter 2027
• Sem 3: Fall 2027
• Work Term: Winter 2028

Admission Requirements

• Ontario College Diploma, Ontario College Advanced Diploma, Degree, or equivalent. Education or experience in a business setting is desirable.

Graduation Requirements

18 Program Courses
1 Co-op Work Term

Graduation Eligibility

To graduate from this program, a student must attain a minimum of 60% or a letter grade of P (Pass) or S (Satisfactory) in each course in each semester. The passing weighted average for promotion through each semester and to graduate is 60%.

Program Tracking

The following reflects the planned course sequence for full-time offerings of the Fall intake of the program. Where more  than one intake is offered  contact the program co-ordinator for the program tracking.

Plan of Study Grid

Semester 1		Hours
Program Courses
AIDI 1013	Artificial Intelligence for Business Decision Making	42
BMGT 1018	Current Issues in Business Seminar 1	42
BMGT 1019	Advanced Business Processes	42
FDNM 1024	Field Placement Career Preparation	42
GBMT 1014	Project Management	42
GBMT 1015	Communications for Business Managers	42
	Hours	252
Semester 2
Program Courses
LIAI 1014	AI Ethics and Policy	56
LIAI 1015	AI in Human Resources	56
LIAI 1016	AI Fundamentals for Managers	56
LIAI 1017	Agile Project Management for AI	56
LIAI 1018	AI Strategy and Change	56
LIAI 1019	AI Innovation and Entrepreneurship	56
	Hours	336
Semester 3
Program Courses
LIAI 2000	AI in Marketing	56
LIAI 2001	Analytical Decision Making	56
LIAI 2002	AI in Finance	56
LIAI 2003	Deep Learning	56
LIAI 2004	Machine Learning	56
LIAI 2005	Leadership in Artificial Intelligence Capstone Project	56
	Hours	336
	Total Hours	924

Plan of Study Grid

Co-op Work Term		Hours
COOP 1067	Artificial Intelligence Leadership and Management Work Term	560
	Hours	560
	Total Hours	560

Graduation Window

Students unable to adhere to the program duration of two years (as stated above) may take a maximum of four years to complete their credential. After this time, students must be re-admitted into the program, and follow the curriculum in place at the time of re-admission.

Disclaimer: The information in this document is correct at the time of publication. Academic content of programs and courses is revised on an ongoing basis to ensure relevance to changing educational objectives and employment market needs. 

Program outlines may be subject to change in response to emerging situations, in order to facilitate student achievement of the learning outcomes required for graduation. Components such as courses, progression, coop work terms, placements, internships and other requirements may be delivered differently than published.