Florida International University

How this program compares

Florida International University's MS in Applied AI and IoT lists about $17.1K total tuition — roughly 60% below the $42.9K AI master's average (16th percentile in our data). It runs on a flexible schedule (hybrid).

Admission Snapshot

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.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Develop AI models optimized for resource-constrained IoT devices.

Estimated total tuition is $17.1K, below the $42.9K average for AI master's programs in our database and in the 16th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

It is one of 50 AI-related programs we track in Florida, of which about 42% offer an online option. On price, it comes in cheaper than about 54% of the Florida programs in our data, where typical tuition runs near $25.9K.

Career Outcomes

Florida International University positions this master track for Machine Learning Engineer careers — typical offers cluster around $120,000. Its focus on Generative AI and LLMs and Computer Vision maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Florida International University's MS in Applied AI and IoT generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions