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 one software development 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 and data.
Please note: This program is available with a fully online co-op option (program #3442). Qualified students transfer to the co-op option in Semester 3. A fully online 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 #3472). The online co-op option is available for fast-track students with four semesters plus two work terms (program #3452). This program is available in an on Campus version (program #3402) with co-op option (program #3412). The fast-track programs are also available in an on Campus version (program #3422), and co-op option (Program #3432).
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.
- 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
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 College English Skills Assessment for Admission (score of 170 or 171 is required for admission)
- Grade 11 Mathematics (M or U), or Grade 12 C or U, or equivalent (minimum grade required), or take a Centennial College Engineering Math Skills Assessment for Admission
Additional Requirements
To participate in this co-op option, you will need to complete an application process in the second semester. If academically qualified, you 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-170/171 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.
Out of province and out of country co-op applicants – additional requirements for co-op may apply
More Info:centennialcollege.ca/programs-courses/full-time/artificial-intelligence-online