Artificial Intelligence - Software Engineering Technology (Optional Co-op)

Through collaboration with industry, the Software Engineering Technology – Artificial Intelligence (AI) program will provide our students with skills in state-of-art design and AI application development technologies. Software is taking the planet by storm and AI-driven technologies are at the center of it. AI’s global economic impact is expected to reach trillions by 2025. AI is set to become the new database for next-generation applications.

Our Software Engineering Technology – Artificial Intelligence program aligns well with the newest technology trends in the software industry, namely Augmented Analytics, AI-Driven Development, and Autonomous Things.The coursework emphasizes modern software design and AI frameworks, machine learning, data visualization, big data fundamentals, natural language processing, image recognition, recommender systems, software bots, digital ethics and privacy guidelines within AI solutions.

To round out the technical focus of the curriculum, the Software Engineering Technology – Artificial Intelligence program includes a capstone project. For this real-world business application, you put into action all the technical, systems and business skills acquired during your courses to build AI-enhanced software solutions for automating, classifying, predicting, recommending, and understanding processes using data.

To ensure that you choose the appropriate technology to participate in courses delivered in the Information & Communication Engineering Technology programs, please consult recommended computer specifications for the ICET academic programs here.

Please note: This program is available with a co-op option. Qualified students transfer to the co-op version (program #3412) in Semester 3.  A fast-track version of this program is available to qualified college or university graduates with a background in software. Fast track applicants gain direct admission into Semester 3 of this three-year program and receive their advanced diploma in four semesters (program #3422). The co-op option is available for fast-track students with four semesters plus two work terms (program #3432). This program may be available in a fully online version (program #3462) with co-op (program #3442).The fast-track programs may also be available in a fully online version (program #3472), and, online co-op (program #3452).

Future Alumni

The graduates of Software Engineering Technology – Artificial Intelligence program can work on all software projects that involve intelligent use of data, such as machine learning, natural language processing, recommendation systems, image recognition, data analytics, big data, and more. The graduates can find employment in various financial, health, social and multimedia, insurance, telecommunications, large retail, tech start-up, transportation, and government companies and institutions.

Companies Offering Jobs

IBM Canada, Manulife, CIBC, RBC, BMO, Bell Canada, Scotiabank, TD, Toronto Transit Commission (TTC), American Express, Toronto Stock Exchange, Canadian Tire, Top Hat, SOTI, and more.

Program Highlights

• Software Engineering Technology – Artificial Intelligence courses incorporate the use of leading technology geared to industry standards.
• Project-based learning is a key component of the offering.
• Knowledgeable and approachable faculty members have diverse industry experience and academic credentials.
• This program is also delivered in a version that includes a co-op option. Students who choose this version (program #3412) are introduced to some of the biggest names in the industry with whom they are able to network in addition to gaining experience that puts them ahead of the competition — before they even graduate.
• Graduates from the program may apply for certified membership to their provincial engineering technology association.

Career Outlook

• AI Developer
• Software Engineer
• Machine Learning Engineer
• Data Analytics Developer
• Software tester
• Mobile application developer
• Computer programmer
• Systems analyst
• Data analyst
• Data Science Developer
• Database Developer
• Web application developer
• Applications or software support

Education Pathways

Graduates of this Artificial Intelligence - Software Engineering Technology advanced diploma program have the opportunity to apply learning achieved at Centennial for credits toward further study at the degree level. Listed below are the credentials from partnering institutions that are available for this program.

Please note that each partner has minimum admission requirements to be met in order to qualify for transfer credits, which are assessed by the receiving partner institution.

Please visit our website at //centennial.adv-pub.moveonca.com/outgoing-home/ for more information on articulation agreements.

For pathways to other Ontario post-secondary institutions, please visit ONTransfer.

Recognitions

OACETT

The Ontario Association of Certified Engineering Technicians and Technologists (OACETT) recognizes this TAC nationally-accredited program as meeting the academic standard for certification in the Certified Engineering Technologist (C.E.T.) category as well as the OACETT technology report and language benchmark requirements.

Accreditation

CIPS

This program has met the national educational standards of Canada’s engineering technology and applied science profession, as such, has received national program accreditation by Canada's Association of Information Technology (IT) Professionals (CIPS).

TAC

This program has met the national educational standards of Canada’s engineering technology and applied science profession, as such, has received national program accreditation by Technology Accreditation Canada (TAC).

Please note: The qualification requirements and costs for each external accreditation, designation, certification or recognition are set by the granting body — not by Centennial College. In order to qualify for any external accreditations, designations, certifications or recognition, students, and graduates will need to follow the processes and meet the applicable

Academic Pathways

The Software Engineering Technology – Artificial Intelligence advanced diploma is open to graduates from Software Engineering Technology or similar programs, as well as to anyone with a degree in the computing field. The graduates of this program can pursue a university degree in all institutions available to our Software Engineering Technology graduates. This includes:

• University of Guelph, Ontario
• Trent University, Ontario
• Ryerson University, Ontario
• University of Ontario Institute of Technology, Ontario
• Algoma University, Ontario
• Laurentian University, Ontario

Academic Requirements

• Ontario Secondary School Diploma (OSSD), or equivalent, or mature student status (19 years or older)
• Grade 12 English (C or U), or equivalent (minimum grade required), or take the Centennial English Admission Test
• Grade 11 Mathematics (M or U) or Grade 12 Mathematics (C or U), or equivalent (minimum grade required), or take a Centennial College Engineering Math Skills Assessment for Admission

Additional Requirements

• English language proficiency

The co-op option in this program will provide you with the opportunity to gain hands-on experience while you complete three work terms as an employee in the field. This experience not only allows you to put classroom learning into practice, but will also provide valuable contacts for your future career.

To participate in programs with optional co-op, students will typically complete an application process in the second semester of their studies, and if academically qualified, may be admitted to the co-op program. Academically qualified students who are accepted into the program will register for the co-op preparation course as scheduled. 

Co-op Requirements

• Minimum of 80% of courses completed from semester one and two combined
• Completion of COMM-160/161 by the end of semester 2 with a C grade (60%) or higher 
• A cumulative GPA of 2.5 or higher (this must be maintained for the duration of the program)
• Students must be legally eligible to work in Canada
• Students who meet the above prerequisites will submit their application for co-op to the Career Services & Cooperative Education Department in semester 2 

Note: Meeting the minimum co-op program requirements does not guarantee admission into the co-op program.

Co-op Model Route

Learn more about co-op programs.

1. Apply Online

Domestic Students

If you are applying through the Better Jobs Ontario Program, please apply at the Employment Training Centre (Progress Campus). The Better Jobs Ontario Program is a funding initiative for those who have been laid-off and are in need of training. For more information go to Better Jobs Ontario Program.

If you have previously attended a full-time program at Centennial College, you may be eligible for a Program Transfer. Visit Enrolment Services at any Campus for information.

All other applicants must apply online at Ontariocolleges.ca. A non-refundable application fee of $125 must accompany applications. The fee is payable online, by telephone, online banking, by mail, or in-person to Ontariocolleges.ca. For more information go to Ontariocolleges.ca Application Fees.

International Students

 Apply directly to Centennial College here.

2. Submit Documents

Domestic Applicants

Current Ontario high school students and graduates from Ontario high schools: Notify your guidance counsellor that you have applied to college and your school will forward transcripts to Centennial College via Ontariocolleges.ca.

Graduates of college/university, or high school outside Ontario but within Canada: You are responsible for requesting that your educational institute sends any required documents and transcripts to Ontariocolleges.ca.

Domestic applicants who attended school outside of Canada: If you are submitting transcripts to meet admission requirements, you must have the transcripts assessed by an independent credential assessment agency such as World Education Services (WES) or International Credential Assessment Service (ICAS). For more information go to Submitting your Transcripts.

International Applicants

Please refer to the International Education Application Guide.

3. Confirm Your Offer of Admission

Offers of Admission are sent by mail to eligible applicants. When you receive your offer, you must login to your account at Ontariocolleges.ca and confirm before the Deadline to Confirm noted in your offer letter.

You may confirm only one college and one program offer at a time.

You must confirm your offer by the Deadline to Confirm noted in your Offer of Admission letter or your seat may be given to another applicant.

When you confirm your Offer of Admission at Centennial College you are given access to your personal myCentennial account where you can check your email, grades, register for courses, pay tuition fees, and see your class timetable.

4. Pay Fees

Centennial fees statements are sent by email to your personal email account and to your myCentennial email account. Fees statements are not mailed.

You must make a minimum payment by the Fees Deadline noted in your Fees Statement or your seat may be given to another applicant.

5. Build Your Timetable (Register for Courses)

Build your timetable (web-register for courses) at my.centennialcollege.ca.

Fall registration begins mid-July
January registration begins mid-December
May registration begins mid-April

Your web-registration will not open if:

You have not submitted your minimum fee payment by the deadline
You received a Conditional Offer of Admission and you have not met the conditions of your offer.

Once you have paid your fees or have made appropriate arrangements, register for your courses online through myCentennial.

Fees noted below are estimates only. Tuition is based on two semesters, beginning Fall 2024.

Design, develop, integrate, document, implement, maintain and test secure software systems based on software engineering methodologies, modern programming paradigms and frameworks.

Analyze, evaluate and apply appropriate software engineering design techniques, data structures and algorithms, and patterns to the implementation of a software system.

Design and implement appropriate testing, verification and evaluation procedures to assess software quality and improve software performance.

Design, model, implement, optimize and maintain a database, data mining, or big data solutions.

Develop and maintain software systems through the application of networking concepts as related to distributed systems and AI implementations.

Analyze, design, and implement integrated AI solutions that address issues of data privacy and security.

Work effectively as a member of a software development team on the design, implementation and testing of a software system.

Use project management principles, tools and techniques to ensure the timely and successful completion of projects.

Analyze and design effective data visualizations to provide business insights to AI solutions and communicate information to the viewer.

Complete all work in compliance with laws, regulations, data governance, and professional ethics relevant to the AI industry.

Develop and implement strategies for personal, career and entrepreneurial development to enhance work performance and maintain currency with the AI industry.

Analyze, evaluate, and integrate machine learning algorithms into various applications to support decision-making and build automated software solutions.

Evaluate AI tools and techniques to design software solutions for a variety of business problems.

Program Vocational Learning Outcomes

Program Vocational Learning Outcomes describe what graduates of the program have demonstrated they can do with the knowledge and skills they have achieved during their studies. The outcomes are closely tied to the needs of the workplace. Through assessment (e.g., assignments and tests), students verify their ability to reliably perform these outcomes before graduating.

1. Design, develop, integrate, document, implement, maintain and test secure software systems based on software engineering methodologies, modern programming paradigms and frameworks.
2. Analyze, evaluate and apply appropriate software engineering design techniques, data structures and algorithms, and patterns to the implementation of a software system.
3. Design and implement appropriate testing, verification and evaluation procedures to assess software quality and improve software performance.
4. Design, model, implement, optimize and maintain a database, data mining, or big data solutions.
5. Develop and maintain software systems through the application of networking concepts as related to distributed systems and AI implementations.
6. Analyze, design, and implement integrated AI solutions that address issues of data privacy and security.
7. Work effectively as a member of a software development team on the design, implementation and testing of a software system.
8. Use project management principles, tools and techniques to ensure the timely and successful completion of projects.
9. Analyze and design effective data visualizations to provide business insights to AI solutions and communicate information to the viewer.
10. Complete all work in compliance with laws, regulations, data governance, and professional ethics relevant to the AI industry.
11. Develop and implement strategies for personal, career and entrepreneurial development to enhance work performance and maintain currency with the AI industry.
12. Analyze, evaluate, and integrate machine learning algorithms into various applications to support decision-making and build automated software solutions.
13. Evaluate AI tools and techniques to design software solutions for a variety of business problems.
14. Design, develop, and deploy various intelligent conversational interfaces for different platforms.

Technology Requirements

This program is part of the BringIT initiative, which means students taking it will need to be able to consistently access and use a mobile computing device that meets or exceeds the program’s recommended hardware requirements.

Students with Accessibility Needs: If you require accommodations for a documented disability, please consider your adaptive technology needs when you select a device for your program. If you want to access disability services, you can make an appointment with the Centre for Accessible Learning and Counselling Services, by calling 416-289-5000 ext. 3850, or by email at calcs@centennialcollege.ca.

Want to know more? Check out Frequently Asked Questions for our BringIT Program.

Students from this program will need to have consistent access to the following:

• Windows PC Laptop:
  • 13 inch screen, FHD resolution;
  • 16GB RAM;
  • 512GB SSD HD;
  • High End Graphics Card, VR Ready (Nvidia 1060 or better recommended);
  • Intel core i7 (6 Gen or later) or equivalent;
  • USB+HDMI Ports;
  • Windows 10th Ed. OS, X-64 Bases Processor
• Recommended:
  • 32GB RAM; Built-in Ethernet Port Audio/Mic combo;
  • A Solid State Drive (SSD);
  • A laptop with a battery life of 3hrs or better;
  • 15 inch Touch Screen

Please note: MacBooks and Chromebooks are NOT acceptable alternatives. Some subjects may require additional devices such as an external hard drive. In addition to the computer specifications listed above, internet access, a web-cam, microphone and speakers are needed.

Minimum Internet Requirement:

You will need regular access to a computer with an internet connection. High-speed broadband access (LAN, Cable or DSL) with minimum 50mbps download speed is highly recommended.

ClassAPPs 2.0

Students are invited to use Centennial College’s ClassAPPs 2.0, an all-in-one system that lets you use all of the digital tools you need to complete your college courses from the comfort of your own home, at any time, instead of finding the time to head for a computer lab. Any student can use the ClassAPPs 2.0 system with any modern, HTML5 enabled web browser, like Chrome, Edge or Firefox. Just log in to the service with the same ID and password you use to get into a College PC, and you instantly gain access to cloud-based software, and other learning resources.