Artificial Intelligence – Honours Bachelor – NEW

Program Overview

Developed in response to the impact of artificial intelligence (AI) on business processes globally, the Honours Bachelor of Artificial Intelligence program will teach you skills, tools, and techniques to design AI solutions.

A comprehensive mix of courses, that not only focus on technical theory but also on topics including legal, social, and corporate responsibility, as well as a field placement and capstone project, will teach you project management, as well as critical and analytical thinking skills.

Admission Requirements

Ontario Secondary School Diploma (OSSD) or Mature Student Status
Six Grade 12 U or M courses with a combined minimum average of 65% including:
- Grade 12 U English with a final minimum grade of 60%
- Grade 12 U Math with a final minimum grade of 60%
Recommended: Calculus and Vectors, Advanced Functions

Six post-secondary credits with a combined minimum average of 65% including:
- College or university English or communications with a final minimum grade of 60%
- College or university math with a final minimum grade of 60%
Recommended: Calculus and Vectors, Advanced Functions

View All Requirements

Tuition

Domestic students should plan for an annual (2 semester) fee of $6,873.

International students should plan for an annual (2 semester) fee of $17,685.

View Full Costs

Semester 1 Courses

Introduction to Artificial Intelligence
Statistics
Introduction to Information Systems
Introduction to Computer Programming
Non-Core Breadth Elective

View All Courses

Field placement

In demand

Innovative technology

Ministry Consent

Durham College has been granted consent by the Ministry of Colleges and Universities to offer this honours degree for a seven-year term starting January 7, 2021. In conformity with the Minister’s criteria and requirements, DC will submit an application for the renewal of the consent for this program 12 months prior to the expiration of the consent. DC will ensure that all students admitted to this program will have the opportunity to complete the program within a reasonable time frame.

Intakes and Availability

Date	Domestic Availability	International Availability
September 2021	Open	Open

Career Options

WHAT YOU COULD BE:

AI, data or machine-learning engineer
Automation architect
Big data developer
Business intelligence analyst
Data analyst
Data analytics developer
Data Scientist
Deep learning engineer

View all Career Options

Program Details

Thanks to a strong foundation in computer science, mathematics, and statistics to ensure the effective use of artificial intelligence (AI) and Machine-Learning algorithms, techniques, and tools, you will be able to solve complex real-world problems and to deliver measurable business value as an integral member of a cross-functional team, designing and developing advanced AI-driven solutions.

Program Learning Outcomes

Evaluate data requirements and technical approaches for building an AI solution by using systems analysis to align to business and client concerns.
Analyze and evaluate the nature and quality of input data to prepare data for selected machine learning algorithms.
Build machine learning models by evaluating input data and identifying features that meet the needs of the project.
Evaluate technical performance metrics, feasibility, legal, privacy, security, and explainability requirements for each candidate design to select the socially responsible, best performing, and technically appropriate AI solution for solving a business problem.
Design and develop simulated environments according to project specifications for testing the effectiveness of machine learning models.
Evaluate and provide justification for machine learning model outputs by referencing algorithmic explainability and prediction interpretability to ensure transparency and accountability.
Utilize data visualization techniques and user interaction designs to create communication material for AI solutions, products, and user experiences for a variety of stakeholders.
Adhere to ethical frameworks and legal guidelines to ensure the integrity, confidentiality, and compliance in the delivery of AI solutions and recommendations.
Collaborate as part of an interdisciplinary team to coordinate project deliverables by applying professional communication, teambuilding and leadership skills, and project management methodologies, tools, and techniques.
Develop software systems using modern programming languages, techniques, and tools for deploying on different platforms.
Develop strategies to pursue continuing education and professional development opportunities to enhance research skills and knowledge and skills in the field.

Admission Requirements

Ontario Secondary School Diploma (OSSD) or Mature Student Status
Six Grade 12 U or M courses with a combined minimum average of 65% including:
- Grade 12 U English with a final minimum grade of 60%
- Grade 12 U Math with a final minimum grade of 60%
Recommended: Calculus and Vectors, Advanced Functions

Six post-secondary credits with a combined minimum average of 65% including:
- College or university English or communications with a final minimum grade of 60%
- College or university math with a final minimum grade of 60%
Recommended: Calculus and Vectors, Advanced Functions

Courses

The courses listed below are for incoming students. If you are a current student, please refer to your program of study for the year you began your program. Your program of study can be found on MyCampus.

Semester 1

Introduction to Artificial Intelligence
Statistics
Introduction to Information Systems
Introduction to Computer Programming
Non-Core Breadth Elective

Semester 2

Introduction to Data Science
Discrete Math
Linear Algebra
Programming for Artificial Intelligence
Non-Core Breadth Elective

Semester 3

Introduction to Machine Learning
Calculus
Data Structures and Algorithms
Ethics and Privacy in Artificial Intelligence
Non-Core Breadth Elective

Semester 4

Machine Learning - Classification
Machine Learning - Regression
Data Management
Systems Analysis and Design
Non-Core Breadth Elective

Semester 5

Introduction to Artificial Neural Networks
Data Visualization
Human-Computer Interaction
Societal and Legal Issues in Artificial Intelligence
Non-Core Breadth Elective

Semester 6

Machine Learning – Clustering and Dimensionality Reduction
Computer Vision
Natural Language Processing
Research Methods
Non-Core Breadth Elective
Field Placement

Semester 7

Advanced Neural Networks: Deep Learning for Sequential Analysis
Advanced Neural Networks: Deep Learning for Spatial Analysis
Deploying Artificial Intelligence Systems
Project Management
Non-Core Breadth Elective

Semester 8

Reinforcement Learning
Special Topics: Agile Artificial Intelligence
Business Application of Artificial Intelligence
Capstone Project
Non-Core Breadth Elective

Courses and course descriptions are subject to change. Please note that as a result of COVID-19 the 2020-21 program of study may be modified to accommodate program delivery changes. Students should refer to their timetable for the most up-to-date course information.

Costs

Durham College is awaiting confirmation of the annual tuition fees for this program from the Ministry of Colleges and Universities. The Ministry has yet to release the 2021-2022 Tuition Framework. Until that framework is released, we can only provide estimated tuition. Domestic students should plan for an annual (2 semester) fee of $6,873. International students should plan for an annual (2 semester) fee of $17,685.

Career Options

WHAT YOU COULD BE:

AI, data or machine-learning engineer
Automation architect
Big data developer
Business intelligence analyst
Data analyst
Data analytics developer
Data Scientist
Deep learning engineer

WHERE YOU COULD WORK:

Technology companies
Start-ups
Financial institutions
Healthcare providers
Research organizations

Program Transfer, Degree Completion and Additional Credentials

www.durhamcollege.ca/pathways

Laptop Requirements

MINIMUM RECOMMENDED HARDWARE

Intel I7 or AMD Ryzen 7 processor or better with chipset that must support virtualization
16 GB of RAM
1 TB hard drive
Ethernet Network Card or USB to Ethernet adapter
Wireless Network Card
One USB 3.0 port (two preferred)
Webcam
Microphone (headset preferred)

SOFTWARE REQUIREMENTS

Windows 10 Professional Edition

Entrance Award

All eligible applicants to the Honours Bachelor of Artificial Intelligence degree program in September 2021, with a combined minimum non-weighted average of 80% in the courses required for admission, will receive a $2,500 first-year entrance award when they accept their offer of admission and register for classes.

Artificial Intelligence – Honours Bachelor – NEW

Program Overview

Admission Requirements

Tuition

Semester 1 Courses

Ministry Consent

Intakes and Availability

Career Options

WHAT YOU COULD BE:

Program Details

Program Learning Outcomes

Admission Requirements

Courses

Semester 1

Semester 2

Semester 3

Semester 4

Semester 5

Semester 6

Semester 7

Semester 8

Costs

Career Options

WHAT YOU COULD BE:

WHERE YOU COULD WORK:

Program Transfer, Degree Completion and Additional Credentials

Laptop Requirements

MINIMUM RECOMMENDED HARDWARE

SOFTWARE REQUIREMENTS

Entrance Award

Artificial Intelligence - Honours Bachelor - NEW in the news

Helpful Resources

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Financial Aid Information

HBAI Program Brochure[Interactive]

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