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.

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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