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  • Artificial Intelligence – Honours Bachelor

Artificial Intelligence – Honours Bachelor

MINISTRY-APPROVED PROGRAM TITLE: Honours Bachelor of Artificial Intelligence

ENTRANCE AWARD AVAILABLE


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Credential
Bachelor’s degree (honours)
Location
Oshawa
OCAS Code
HBAI
Next Intake
September 2023
View all intakes
Faculty
Faculty of Science, Engineering & Information Technology (SEIT)
Length
Nine semesters
Laptop
Learn more about laptop requirements
Delivery
More than 75% of this program is delivered in-person. Learn more.
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Come visit us at OPEN HOUSE
Saturday, April 1 Register Now for Open House

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.

Intakes and Availability

Date Domestic Availability International Availability
September 2023OpenClosedApply now
ProgramHighlights
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Durham College kicks off 2021-2022 academic year
DC launches two new degree programs and graduate certificate for in-demand jobs
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  • HBAI Program Brochure
    [Interactive]
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  • Financial Aid Information
Field placement
In demand
Innovative technology

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: $17,818 (CAD)

View full costs

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)

View all courses

Field placement
Field placement
In demand
In demand
Innovative technology
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.

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

Meet our expert faculty

As industry leaders and professionals, our program faculty are attuned to the skills and knowledge employers are seeking in today’s workforce. With leading-edge insight, industry connections and commitments to positive learning environments, our subject matter experts deliver the best in innovative and transformative education that ensures student success in the classroom and beyond.

View our Faculty

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

  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.

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

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 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

  • Field Placement - Degree (HBAI 46001)

Semester 9

  • 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)

Courses and course descriptions are subject to change. Please note that as a result of COVID-19 the 2023-2024 program of study may be modified to accommodate program delivery changes.

Course delivery

More than 75% of this program is delivered in-person.

The rest of the coursework will be delivered using hybrid, flexible or online formats. Students will come to campus to complete in-person learning requirements. Detailed schedules, with course-specific delivery information, will be available after registration. Courses, course descriptions and delivery formats are subject to change.

In-person:
Course is delivered in person, on campus within a classroom, lab, shop or studio.
Flexible:
Course is taught in one of DC’s technology-enabled learning classrooms and online at the same time. Students can choose to attend in-person or online.
Hybrid:
Part of the course is delivered online, remotely, and part is in-person on campus within a classroom, lab, shop or studio.
Online:
Fully remote course delivery.

Costs

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 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

Entrance Award

All eligible applicants to the Honours Bachelor of Artificial Intelligence degree program for September 2023, 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

For more information, please contact Admission Services.

Field Placement

The work-integrated learning experience is viewed as an integral part of the Honours Bachelor of Artificial Intelligence. The practical aspects of data analytics and artificial intelligence, in conjunction with the academic studies, enables the student to better understand methods and techniques for data analytics and artificial intelligence activities and frameworks for working collaboratively with people. Work-integrated learning experiences are expected to reflect and contribute to the program learning outcomes. Students will experience working in the data analytics or artificial intelligence industry and situations where contributions and success are evaluated in a real-world application manner that builds on their knowledge acquired in an academic setting.

Meet our faculty

  • Aria Perez
  • MSc (Geology and Physics), University of Toronto
  • MA (Applied Mathematics), York University
  • David Babalola
  • PhD (Modelling and Computational Science (Applied Mathematics)), Ontario Tech University
  • CAP
  • Omar Altrad
  • PhD (Applied Science-Engineering), Simon Fraser University
  • P.Eng, PMP, IBM-Data Science Certified
  • Ruba Alomari
  • PhD (Computer Science), Ontario Tech University
  • MITS (Master of Information Technology Security), Ontario Tech University
  • CISO, CEH, AWS Cloud Practitioner, ITIL
  • Sukhwant Kaur Sagar
  • PhD (Information Technology), University of Salford, Manchester, United Kingdom
  • Certified Ethical Hacker(CEH), AWS Academy Accredited Educator, Microsoft Certified Azure Practitioner
  • Uzair Ahmad
  • PhD (Machine Learning), Kyunghee University, South Korea
  • MS (Information Technology), NUST, Pakistan

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Durham College is situated on the traditional lands of the First Peoples of the Mississaugas of Scugog Island First Nation. These lands are covered under the Williams Treaties and rest within the traditional territory of the Anishinaabeg. We offer our gratitude to the Indigenous Peoples who care for and, through the treaty process, share the lands on which we live, learn, teach and prosper today.

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