Typical admitted student: A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework in linear algebra, calculus, and probability.

About This Program

This professionally oriented degree is designed for engineers who want to apply AI and machine learning in practical, industry-relevant settings.

Career Outcomes

Position as Machine Learning Engineer in Engineering AI with natural language processing expertise

1. AI/ML Engineer
2. Data Scientist
3. Computer Vision Specialist
4. Robotics Engineer

What You'll Learn

Design and implement machine learning models for predictive analytics.
Build and train deep neural networks for complex data processing.
Apply computer vision techniques to image recognition and analysis.
Develop natural language processing systems for text understanding.
Integrate AI algorithms into engineering systems and robotics.

Curriculum Highlights

The program consists of nine courses covering deep learning, natural language processing, computer vision, and responsible AI practices.

Top Employers

Top employers include Google, Amazon, Microsoft, NVIDIA, and engineering firms like Boeing and Tesla.

Admissions

A bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework in linear algebra, calculus, and probability.

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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