Introduction to Artificial Intelligence

Upon successful completion of this program, the student will have reliably demonstrated the ability to:

• Comprehend key AI concepts such as machine learning, neural networks, and natural language processing, and apply these principles to analyse and solve real-world problems across various industries.
• Identify real-world problems that can be addressed using AI techniques, critically evaluate the suitability of different AI methods, and design AI-driven solutions based on specific problem characteristics.
• Implement AI algorithms using Python and relevant libraries, such as TensorFlow, PyTorch, and Scikit-learn, to develop practical applications, while analysing and optimising the performance of these implementations.
• Evaluate ethical considerations in AI, including bias, fairness, and transparency, and create AI solutions that incorporate responsible AI principles to ensure ethical and fair outcomes.
• Apply AI techniques such as image recognition and natural language processing to real-world use cases, designing, building, and evaluating AI-driven applications and projects that demonstrate comprehensive AI knowledge and skills.

Career Occupation

Based on the NOC (National Occupation Classification) Version 2016 1.3 

Unit Group 2173 – Software engineers and designers

Career options* available but not limited to:

• Junior Data Entry Specialist
• Machine Learning Intern
• AI Support Intern
• Data Annotation Assistant
• Entry-Level Software Tester
• AI Documentation Assistant
• Junior Data Analyst

Admission Requirements

Basic Admission Requirements 

• High School Completion: Applicants must have a high school diploma or an equivalent qualification.
• Age Requirement: Minimum 19 years of age. 
• Mature Student Status*: Applicants who have not completed high school and are at least 19 years of age, may apply as a mature student. 

*Mature student status may be granted to applicants who are over 19 years old and have not completed high school or equivalent. The applicants will be considered for admission based on the skills and experience they have acquired since leaving school. The applicant is required to provide the most recent transcripts or proof of academic accomplishments, a resume or summary of professional accomplishments, and two letters of recommendation from both their current and previous employers. The applicant may be interviewed by the Registrar’s or Academic office to further assess their suitability for admission to the program of study

Methods Of Evaluation

• For specific methods of evaluation, refer to individual course outlines.

Completion Requirements

To successfully complete the program, a student must:

• Pass  courses with a minimum passing grade of 70% (C).

Delivery Methods

• In-class instruction: 100% hours of instruction delivered in a classroom or other setting, where instructors share the same physical space as students.
• Distance education: 100% hours of instruction, excluding work experience hours, if applicable, delivered remotely from a BC location.
• Combined delivery: (both in-class and distance): Instruction provided through a combination of in-class and distance delivery. Program may include a work experience component (in-person).

 [50] % of combined program will be provided by distance (online) delivery.

If distance or combined delivery is indicated, the online components are:

• Synchronous, meaning students attend classes virtually in ‘real time’ with instructors and classmates. 
• Asynchronous, meaning students and instructors do not meet in ‘real time’.  There is no live video lecture portion of the program.  Students in a program or course that is delivered asynchronously may move through assignments at their own pace, supported by online resources such as recorded lectures, reading material, assignments and discussion groups. 
• Combination of both synchronous and asynchronous. 

Program delivery is [30] % synchronous and [70] % asynchronous.

Required Course Materials

• For a detailed list of textbooks and educational materials, refer to individual course outlines. 
• All students must have a laptop or tablet that has a suite of applications for accessing e-books, word processing, creating spreadsheets, charts, graphs and presentations as well as access to high speed internet.

Minimum Technology Requirements

• Domain and Hosting
• Student Edition Adobe Creative Suite
• Personal Notebook Computer or MacBook, with following specifications: 
• Processor Chip: Intel Core i7 or i9
• Speed: 3.9 GHz or higher
• Example: Intel Core i7-7820HQ, 4-core 3.9 GHz
• RAM: 8 GB or higher (Note: Windows 10 requires 4 GB minimum)
• Graphics Card: NVIDIA GeForce GTX 1080 with 4 GB of dedicated RAM (recommended: NVIDIA GeForce GTX 1080 Ti)

Graphics card must have dedicated RAM separate from the computer’s main RAM

Program Organization

INTAKES
Start dates:
8 September 2025 | 6 October 2025 | 3 November 2025 | 1 December 2025 | 12 January 2026 | 9 February 2026 | 9 March 2026 | 13 April 2026 | 11 May 2026 | 8 June 2026 | 6 July 2026 | 10 August 2026 | 7 September 2026 | 5 October 2026 | 2 November 2026 | 30 November 2026 | 11 January 2027 | 8 February 2027 | 8 March 2027 | 12 April 2027 | 10 May 2027 | 7 June 2027 | 5 July 2027 | 9 August 2027