Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0 preferred, SAT/ACT scores optional but recommended for competitive admission, and strong preparation in math and physics.

About This Program

This program blends traditional electrical and computer engineering with a specialized focus on artificial intelligence, preparing students to create next-generation automated systems and intelligent hardware.

Career Outcomes

Start Machine Learning Engineer career in Engineering AI with machine learning focus

1. AI Hardware Engineer
2. Embedded Systems Engineer
3. Machine Learning Engineer
4. Computer Vision Engineer

What You'll Learn

Design and analyze electrical circuits and computer systems integrated with AI algorithms.
Implement machine learning models on embedded hardware platforms.
Develop AI-driven signal processing and computer vision applications.
Optimize neural networks for real-time engineering systems.

Curriculum Highlights

The curriculum includes foundational engineering courses alongside an AI track covering deep learning, generative AI, cloud services, and data visualization, integrated with hands-on robotics projects.

Top Employers

Top employers include tech giants like Intel, NVIDIA, Qualcomm, and companies such as Tesla and Google.

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred, SAT/ACT scores optional but recommended for competitive admission, and strong preparation in math and physics.

Application Materials

Statement of Purpose: Optional
Letters of Recommendation: Optional
Resume: Optional
Transcripts: Official transcripts required

Academic Requirements

Degree Required: High School Diploma
GRE/GMAT: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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