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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 co-op option (program #3412). Qualified students transfer to the co-op option 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 is available in a fully online version (program #3462) with co-op option (program #3442). The fast-track programs are also 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
Successful graduates of the Artificial Intelligence Software Engineering Technology program have the opportunity to apply credits toward further study at the degree level. Please note that each partner pathway has specific requirements in order to transfer for credits, which are assessed by the receiving institution.
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