Artificial Intelligence - Honours Bachelor

Program Overview

---

Artificial Intelligence – Honours Bachelor

Overview

Our cutting-edge, interdisciplinary artificial intelligence (AI) program offers a strong focus on hands-on learning and real-world applications. Students working toward an artificial intelligence degree learn from faculty with unmatched expertise in AI. They engage in innovative projects, benefit from strong industry connections, receive flexible learning options, and have access to dedicated career services.

The Honours Artificial Intelligence Bachelor’s degree program at Durham College emphasizes ethical AI practices, preparing you for leadership positions in this exciting emergent field. In addition to your artificial intelligence courses, you gain experience working in the data analytics or AI industry. In this portion of your artificial intelligence degree studies, your contributions and success are evaluated in a real-world manner that builds on the knowledge you will have already acquired in the classroom.

There are many artificial intelligence programs you could choose from; Durham College offers you the course selections, world-class faculty, and experiential learning opportunities you won’t get anywhere else. Join a vibrant, diverse community and transform your passion for AI into a successful career today.

Intakes and Availability

Date	Domestic Availability	International Availability
September 2025	Open	Open

Program Highlights

• Success Stories
• Resources

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

OR

• 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

Tuition

• Year one domestic: $6,354 (CAD)
• Year one international: $18,941 (CAD)

Semester 1 Courses

• Breadth Elective Credit (BRTH 00000)
• Introduction To Artificial Intelligence (COSC 11000)
• Introduction To Computer Programming (COSC 11001)
• Introduction To Information Systems (INFT 11000)
• Statistics (STAT 11000)

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.

Career Options

In the rapidly growing field of artificial intelligence, your career opportunities are boundless, spanning across numerous industries and creating opportunities for entrepreneurial work or jobs within existing large organizations.

WHAT YOU COULD BE:

• AI, data or machine-learning engineer
• Automation architect
• Business intelligence analyst
• Data analyst
• Data analytics developer
• Data scientist
• Deep learning engineer
• Machine Learning Engineer
• Robotics Engineer
• Computer Vision Engineer
• Natural Language Processing (NLP) Engineer
• AI Research Scientist
• AI Product Manager
• AI Consultant
• AI Software Developer
• AI Solutions Architect
• Ethics Consultant in AI
• AI Policy Advisor
• AI Specialist
• Healthcare AI Specialist
• AI in Finance Analyst

WHERE YOU COULD WORK:

• Technology companies
• Start-ups
• Financial institutions
• Health care providers
• Research organizations
• Government agencies
• Automotive companies
• E-commerce companies
• Robotics companies
• Consulting firms
• Telecommunications companies
• Aerospace and defense companies
• Entertainment and media companies
• Pharmaceutical companies
• Manufacturing companies
• Energy companies
• Cybersecurity firms

Program Learning Outcomes

Upon completion of your artificial intelligence courses, you can expect to understand and be able to do the following:

1. Evaluate data requirements and technical approaches for building an AI solution by using systems analysis to align to business and client concerns.
2. Analyze and evaluate the nature and quality of input data to prepare data for selected machine learning algorithms.
3. Build machine learning models by evaluating input data and identifying features that meet the needs of the project.
4. 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.
5. Design and develop simulated environments according to project specifications for testing the effectiveness of machine learning models.
6. Evaluate and provide justification for machine learning model outputs by referencing algorithmic explainability and prediction interpretability to ensure transparency and accountability.
7. Utilize data visualization techniques and user interaction designs to create communication material for AI solutions, products, and user experiences for a variety of stakeholders.
8. Adhere to ethical frameworks and legal guidelines to ensure the integrity, confidentiality, and compliance in the delivery of AI solutions and recommendations.
9. 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.
10. Develop software systems using modern programming languages, techniques, and tools for deploying on different platforms.
11. Develop strategies to pursue continuing education and professional development opportunities to enhance research skills and knowledge and skills in the field.

Program Details

Graduates of Durham College’s artificial intelligence program will enter the workforce with specialized skills, including the ability to analyze, design, and implement AI systems using systematic methodologies.

Students in our artificial intelligence degree program will:

• Develop AI models that leverage enterprise data to identify patterns, provide insights, recommend actions, and perform tasks autonomously throughout their artificial intelligence courses.
• Effectively use AI and machine-learning algorithms to solve complex real-world problems, supported by a strong foundation in computer science, mathematics, and statistics.
• Become adept at preparing and presenting analyses, reports, and recommendations for various audiences.
• Conduct research, data analysis, model development, and solution deployment ethically, ensuring privacy and data integrity.
• Apply project management tools to deliver AI systems on time, within budget and ensure compliance with corporate policies, ethical standards, and industry regulations.
• Design and develop advanced AI-driven solutions, delivering measurable organizational value. This is a key outcome of our artificial intelligence degree.

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 MyDC.

Semester 1

• Breadth Elective Credit (BRTH 00000)
• Introduction To Artificial Intelligence (COSC 11000)
• Introduction To Computer Programming (COSC 11001)
• Introduction To Information Systems (INFT 11000)
• Statistics (STAT 11000)

Semester 2

• Breadth Elective Credit (BRTH 00000)
• Introduction To Data Science (COSC 12000)
• Programming For Artificial Intelligence (COSC 12001)
• Discrete Math (MATH 12000)
• Linear Algebra (MATH 12001)

Semester 3

• Breadth Elective Credit (BRTH 00000)
• Introduction To Machine Learning (COSC 21000)
• Data Structures And Algorithms (COSC 21001)
• Ethics And Privacy In Artificial Intelligence (ETHC 21000)
• Calculus (MATH 21000)

Semester 4

• Breadth Elective Credit (BRTH 00000)
• Machine Learning - Classification (COSC 22000)
• Machine Learning - Regression (COSC 22001)
• Data Management (INFT 22000)
• Systems Analysis And Design (INFT 22001)

Semester 5

• Breadth Elective Credit (BRTH 00000)
• Introduction To Artificial Neural Networks (COSC 31000)
• Data Visualization (COSC 31001)
• Human-Computer Interaction (COSC 31002)
• Societal And Legal Issues In Artificial Intelligence (LAWW 31000)

Semester 6

• Breadth Elective Credit (BRTH 00000)
• Machine Learning - Clustering And Dimensionality Reduction (COSC 32000)
• Computer Vision (COSC 32001)
• Natural Language Processing (COSC 32002)
• Field Placement Preparation (FDPL 32000)
• Research Methods (RSCH 32000)

Semester F

• Field Placement - Degree (HBAI 46001)

Semester 7

• Breadth Elective Credit (BRTH 00000)
• Advanced Neural Networks: Deep Learning For Sequential Analysis (COSC 41000)
• Advanced Neural Networks: Deep Learning For Spatial Analysis (COSC 41001)
• Deploying Artificial Intelligence Systems (INFT 41000)
• Project Management (PJMT 41000)

Semester 8

• Breadth Elective Credit (BRTH 00000)
• Reinforcement Learning (COSC 42000)
• Special Topics: Agile Artificial Intelligence (HBAI 42000)
• Capstone Project (HBAI 42001)
• Business Application Of Artificial Intelligence (INFT 42000)

Costs

The fees below are estimates only based on information available at the time of publication, and do not include the cost of textbooks. There may be additional costs; however, not all courses require textbooks.

Artificial Intelligence - Honours Bachelor Year 1 Costs

Semester	Tuition	Program Fee	Ancillary Fee	DCSA Ancillary Fee	Total
1	$3,177	$17	$493.77	$430	$4,117.77
2	$3,177	$0	$493.77	$120	$3,790.77

Artificial Intelligence - Honours Bachelor Year 2 Costs

Semester	Tuition	Program Fee	Ancillary Fee	DCSA Ancillary Fee	Total
3	$3,177	$17	$474.19	$430	$4,098.19
4	$3,177	$0	$474.19	$120	$3,771.19

Artificial Intelligence - Honours Bachelor Year 3 Costs

Semester	Tuition	Program Fee	Ancillary Fee	DCSA Ancillary Fee	Total
5	$3,177	$17	$474.19	$430	$4,098.19
6	$3,177	$0	$474.19	$120	$3,771.19

Artificial Intelligence - Honours Bachelor Year 4 Costs

Semester	Tuition	Program Fee	Ancillary Fee	DCSA Ancillary Fee	Total
7	$3,177	$17	$474.19	$430	$4,098.19
8	$3,177	$0	$474.19	$120	$3,771.19

Entrance Award

All eligible applicants to the Honours Bachelor of Artificial Intelligence degree program for the upcoming academic year, with a combined minimum non-weighted average of 75 percent and higher, will be considered to receive a first-year entrance award:

• 75% average – $500
• 80% average – $1,500
• 85% average – $2,000
• 90% average – $3,000

Experiential Learning

The work-integrated learning experience is an integral part of the Honours Bachelor of Artificial Intelligence program. By combining hands-on experience in data analytics and artificial intelligence with their academic work, students gain a better understanding of these methods and techniques and learn valuable lessons in how to work collaboratively with others.

Work-integrated learning experiences are designed to support the learning outcomes of the Artificial Intelligence program. Students experience working in the data analytics or artificial intelligence industry, where their contributions and success are evaluated in a real-world manner, building on the knowledge acquired in the classroom.

Program Transfer, Degree Completion and Additional Credentials

For information about how you can use your Honours Bachelor’s Degree in Artificial Intelligence toward other programs, degrees, and credentials, please visit:

Tech Requirements

To help students have the best learning experience possible, Durham College’s IT Services department has identified technology recommendations for the Artificial Intelligence program. Students may want to consider these suggestions if they are purchasing a computer or laptop for the upcoming academic year.

MINIMUM REQUIRED 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

Meet the Faculty

Durham College is proud to have a range of highly experienced professionals and renowned academics as instructors and mentors for our Honours Bachelor of Artificial Intelligence program. Bringing with them their varied academic and work-related backgrounds, our faculty members provide an educational experience that is unequalled among AI courses in Canada.

• Laith Adi
• Aparna Das
• Noopa Jagadeesh
• Aria Perez
• Sajeeva Salgadoe
• Priyamvada Tripathi

Program Outline

Degree Overview:

Developed in response to artificial intelligence (AI) transforming organizational processes globally, the Honours Bachelor of Artificial Intelligence will teach skills, tools, and techniques for designing AI solutions. It emphasizes both technical theory and topics such as legal, social, and corporate responsibilities. This learning, combined with a field placement and capstone project, will equip graduates with project management, critical thinking, and analytical skills.

---

Outline:

• Semester 1:
• Breadth Elective Credit
• Introduction to Artificial Intelligence
• Introduction to Computer Programming
• Introduction to Information Systems
• Statistics
• Semester 2:
• Breadth Elective Credit
• Introduction to Data Science
• Programming for Artificial Intelligence
• Discrete Math
• Linear Algebra
• Semester 3:
• Breadth Elective Credit
• Introduction to Machine Learning
• Data Structures and Algorithms
• Ethics and Privacy in Artificial Intelligence
• Calculus
• Semester 4:
• Breadth Elective Credit
• Machine Learning - Classification
• Machine Learning - Regression
• Data Management
• Systems Analysis and Design
• Semester 5:
• Breadth Elective Credit
• Introduction to Artificial Neural Networks
• Data Visualization
• Human-Computer Interaction
• Societal and Legal Issues in Artificial Intelligence
• Semester 6:
• Breadth Elective Credit
• Machine Learning - Clustering and Dimensionality Reduction
• Computer Vision
• Natural Language Processing
• Field Placement Preparation
• Research Methods
• Field Placement - Degree: A work-integrated learning experience in the AI industry.
• Semester 7:
• Breadth Elective Credit
• Advanced Neural Networks: Deep Learning for Sequential Analysis
• Advanced Neural Networks: Deep Learning for Spatial Analysis
• Deploying Artificial Intelligence Systems
• Project Management
• Semester 8:
• Breadth Elective Credit
• Reinforcement Learning
• Special Topics: Agile Artificial Intelligence
• Capstone Project

---

Careers:

---

Potential Career Paths:

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

---

Potential Employers:

• Technology companies
• Start-ups
• Financial institutions
• Health care providers
• Research organizations