Advanced Diploma in Software Engineering Technology - Artificial Intelligence (Optional Co-op)

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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 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.

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 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

Qualified graduates of this Artificial Intelligence - Software Engineering Technology advanced diploma program may be eligible to participate in pathway programs with partnering institutions.

في أي قسم أنا؟

School of Engineering Technology and Applied Science

خيارات الدراسة

عبر الانترنت/عن بعد (3 أعوام )

رسوم التسجيــل
CAD$17,206.00 (US$ 12,639) سنوياً
Ancillary Fees - CAN $1,126.69

* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة

تاريخ البدء

متوقع يناير 2025

عبر الانترنت/عن بعد مع حضور (3 أعوام )

رسوم التسجيــل
CAD$17,206.00 (US$ 12,639) سنوياً
Ancillary Fees - CAN $1,642.59

* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة

تاريخ البدء

سبتمبر 2024, يناير 2025

مكان عقــد الدورة

Progress Campus

941 Progress Avenue,

TORONTO,

Ontario (ON),

M1G 3T8, Canada

شروط القبول

للطلاب الدوليين

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

English Language Requirements:

  • A TOEFL score of 550 (paper-based) or 80+ (internet based with no test below 20)
  • IELTS (Academic) score of 6.0+ (with no single test score below 5.5)
  • CAEL (Canadian Academic English Language Assessment) with an overall band score of 60
  • Pearson Test of English (Academic) score of 51 plus
  • ITEP (International Test of English Proficiency) score of 3.7 plus.

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