MasterHybridFlexible

Florida International University

MS in Applied AI and IoT

Miami, Florida1.5 $17K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $17.1K in total tuition, the MS in Applied AI and IoT sits roughly 60% below the $42.4K average for AI master's programs in our database β€” placing it in the 15th percentile on cost among the 531 we track at this level.

Est. Salary$120,000
Job Growth+23%
Top RoleMachine Learning Engineer
FormatHybrid

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$17K total
Format
Hybrid
Schedule
Flexible
GRE / GMAT
Required
Concentrations
Generative AI and LLMs, Computer Vision

Typical admitted student: A bachelor's degree in computer science, electrical engineering, or a related technical field with a minimum GPA of 3.0 is required, along with programming experience and foundational knowledge in AI or IoT.

About This Program

This master’s degree offers advanced training in the synergy of AI and IoT technologies, focusing on high-level data engineering and the development of intelligent, autonomous systems. Coursework concentrates on Generative AI and LLMs and Computer Vision. Most students complete it in about 1.5 years.

Estimated total tuition is $17.1K, below the $42.4K average for AI master's programs in our database and in the 15th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Advance as Machine Learning Engineer in Engineering AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Advance as Machine Learning Engineer in Engineering AI with machine learning expertise

  • 1. AI IoT Engineer
  • 2. Machine Learning Specialist
  • 3. Embedded Systems Developer
  • 4. Smart Systems Architect

What You'll Learn

  • Develop AI models optimized for resource-constrained IoT devices
  • Design secure and scalable IoT networks integrated with machine learning
  • Apply deep learning to real-time sensor data processing and analytics
  • Implement edge AI solutions for smart systems and automation

Curriculum Highlights

The program covers advanced topics in cloud services, data engineering, and embedded AI, including large language models and security for massive scale connected device networks.

Top Employers

Top employers include tech firms like Google, Amazon, Cisco, and IBM, as well as engineering companies specializing in smart devices and industrial IoT.

Admissions

A bachelor's degree in computer science, electrical engineering, or a related technical field with a minimum GPA of 3.0 is required, along with programming experience and foundational knowledge in AI or IoT.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Optional
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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