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 two software development projects. For these real-world business applications, 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.
For a Fast-Track with Optional Co-op version of this program, please visit program 3422: Software Engineering Technology – Artificial Intelligence Fast Track (Optional Co-op).
- Ontario Secondary School Diploma (OSSD) or equivalent, or mature student status (19 years or older)
- English Grade 12 C or U, or equivalent (minimum grade required) or take the Centennial College
Mathematics Grade 11 M or U, or 12 C or U, or equivalent (minimum grade required) or take a Centennial College
The co-op option in this program will provide you with the opportunity to gain hands-on experience while you complete two 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 first 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.
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. identify, analyze, design, develop, implement, verify and document the requirements for a computing environment.
2. diagnose, troubleshoot, document and monitor technical problems using appropriate methodologies and tools.
3. analyze, design, implement and maintain secure computing environments.
4. analyze, develop and maintain robust computing system solutions through validation testing and industry best practices.
5. communicate and collaborate with team members and stakeholders to ensure effective working relationships.
6. select and apply strategies for personal and professional development to enhance work performance.
7. apply project management principles and tools when responding to requirements and monitoring projects within a computing environment.
8. adhere to ethical, social media, legal, regulatory and economic requirements and/or principles in the development and management of the computing solutions and systems.
9. investigate emerging trends to respond to technical challenges.
10. analyze and define the specifications of a software system based on requirements engineering processes and techniques.
11. design, develop, integrate, document, implement, maintain and test software systems based on software engineering methodologies, modern programming paradigms and frameworks.
12. analyze, evaluate and apply software engineering design techniques, data structures, algorithms, and patterns to the implementation of a software system.
13. design, model, implement, optimize and maintain a database and apply data mining concepts and tools for decision making.
14. develop, maintain and deploy software systems to resolve networking issues.
15. build automated software solutions through the analysis, evaluation, and integration of intelligent systems into various applications.
16. design and implement appropriate testing, verification and evaluation procedures to assess software quality and improve software performance.
17. create innovative and entrepreneurial concepts that lead to the development of new software products and/or the enhancement of existing ones.