Master Of Artificial Intelligence Design & Development (mai)

The Master of Artificial Intelligence Design & Development (MAI) program at Seneca Polytechnic is an advanced professional master's degree designed to prepare graduates for leadership roles in the rapidly evolving field of Artificial Intelligence. The program combines advanced theoretical knowledge with practical industry-focused training, enabling students to design, develop, deploy, and manage AI-driven solutions across various industries.

Students gain expertise in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Science, Artificial Intelligence Ethics, MLOps, and AI Project Management. Through applied research projects, case studies, advanced laboratories, and industry-integrated learning experiences, students learn how to solve complex business problems using modern AI technologies.

The program includes 840 hours of internship experience, allowing students to apply classroom learning in real-world environments while building valuable Canadian industry experience. Graduates are prepared to contribute to AI innovation in sectors such as technology, healthcare, finance, manufacturing, renewable energy, aerospace, and automotive industries.

Career Opportunities

Program Requirements
  • Academic Requirement: Four-year Honours Bachelor's Degree or equivalent. Background in Computer Science, Data Science, Mathematics, Computer Engineering, Software Engineering or related field. Minimum B Grade (70%) overall or in the final two years of study. Applicants with relevant academic and professional experience may be considered through an equivalency assessment. WES or ICAS Course-by-Course Evaluation required for international credentials.
  • ELP Requirement: IELTS Academic: 6.5 Overall (6.0 in each) PTE Academic: 60 Duolingo: 120-125 TOEFL iBT: Minimum 22 per skill CAEL: 70 (Writing 60+)
  • Special Requirement: 840 Hours Internship / Work Integrated Learning Independent Applied Research Project Artificial Intelligence Specialization Machine Learning Deep Learning Natural Language Processing (NLP) Computer Vision MLOps Data Science for AI AI Ethics AI Project Management WES / ICAS Course-by-Course Evaluation Required
Refund Policy

  • Students whose study permit applications are still pending may request a deferral to the next available intake, provided the request is submitted before Day 10 of classes and the program is available. Deferrals are granted only once.

  • Students awaiting an IRCC decision must still meet the deferral deadline. Requests submitted after Day 10 of classes will not be approved solely because a study permit decision is pending.

  • Students may alternatively withdraw and apply for a refund by submitting the required withdrawal form and supporting documentation. Applicable administrative fees may be deducted.

  • If a study permit application is refused, students may defer their admission and request a new Provincial Attestation Letter (PAL) to support a future study permit application. PAL issuance is subject to availability and cannot be guaranteed.

  • Refund requests due to study permit refusal must include a copy of the official IRCC refusal letter and be submitted within 14 days of the refusal date.

  • Only the refusal letter associated with the intake being withdrawn from will be considered for refund eligibility.

  • Students whose second study permit application is refused before the start of classes may still qualify for a refund, subject to Seneca’s refund policy.

  • Deferral requests are subject to program availability, and late requests may require a written appeal.

  • Approved late deferrals may be subject to a CAD $200 late fee.

Key Facts
  • Application Fee: $90
  • LOA Deposit: $0
  • Annual Tuition Fee: $0
  • Total Tuition Fee: $40,000
  • Course Duration: 16 Months (4 Semesters)
  • Credentials: Masters
  • Intake: September 2026 January 2027 May 2027
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Checklist

Academic Documents

  • Degree Certificate
  • All Semester Transcripts
  • Consolidated Marksheet (if available)

Credential Evaluation

  • WES Course-by-Course Evaluation OR
  • ICAS Course-by-Course Evaluation

Identity Documents

  • Valid Passport

English Language Documents

  • IELTS Score Card, OR
  • PTE Score Card, OR
  • TOEFL Score Card, OR
  • Duolingo Score Card

Employment Documents (If Applicable)

  • Updated Resume / CV
  • Experience Letters
  • Reference Letters

Supporting Documents

  • Statement of Purpose (SOP)
  • Letter of Interest
  • Gap Justification Letter (if applicable)

Financial Documents (Visa Stage)

  • Tuition Fee Receipt
  • Financial Support Documents
  • Bank Statements

Additional Documents (If Required)

  • Professional Certifications
  • Research Experience Documents
  • Project Portfolio (if available)
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