The proposed Artificial Intelligence (AI) Minor is designed to empower students across all disciplines at Florida International University with foundational and applied AI knowledge. The minor aims to prepare students for AI-driven careers and interdisciplinary research by offering a cohesive curriculum that integrates core AI methodologies with applications in multi-disciplinary domains.

This 12-credit minor is open to students from all departments and is structured with three core courses (9 credits) and one elective course (3 credits). The program emphasizes theoretical knowledge, practical implementation, hands-on learning, ethical awareness, and domain-specific applications, fostering the development of AI-ready students capable of leading in the AI era.

Starting

Fall 2026
Semester

Additional Info

 

Program Highlights:

  • AI Minor-Undergrad program
  • Starts in Spring and Fall semesters
  • Artificial Intelligence with advanced training is in high demand
  • Taught by faculty leaders in Artificial Intelligence
  • Highly relevant and continually evolving curriculum
  • Focused on Machine Learning, Deep Learning, Generative AI & Large Language Models.
  • Microsoft Certification – AI 900, AZ 900 included

Core Courses

Core Courses: Select one from each group (total of 9 Credits)

Machine Learning Course List:

  • CNT 4153: Machine Learning in ECE
  • CAI 4105: Introduction to Machine Learning
  • or another course of equivalent content from other departments while working with AI Minor Committee.

Deep Learning Course List:

  • CNT 4149: Deep Learning in ECE
  • CAI 4203: Introduction to Deep Learning
  • or another course of equivalent content from other departments while working with AI Minor Committee.

Generative AI Course List:

  • CAI 4863: Generative AI Fundamentals in ECE
  • or another course of equivalent content from other departments while working with AI Minor Committee.

Elective Courses

Select 1 Course (3 Credits)

  • Elective Courses:
    Offer specialized courses tailored to specific disciplines. Examples:

     

    • Data Engineering CAI 3864 Data Engineering in ECE
    • AI in Civil Engineering (e.g., predictive maintenance, smart infrastructure)
    • AI in Biomedical Engineering (e.g., medical imaging, healthcare analytics)
    • AI in Mechanical Engineering (e.g., robotics, autonomous systems)
    • AI in Electrical and Computer Engineering (e.g., Data Engineering, AI in Power Systems, Signal Processing, Communication, Control, and Cloud Computing)
    • AI in Construction Management (e.g., project optimization, risk assessment)
    • Project: Include a hands-on project where students apply AI to practical problems in their field of study.
    • or another course of equivalent content from other departments while working with AI Minor Committee.