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

About This Program

This professional program prepares engineering leaders to build algorithms that reason, learn, and act intelligently to solve complex industry predictions and challenges.

Career Outcomes

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

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

What You'll Learn

Design and implement machine learning models for real-world applications
Develop deep learning architectures for tasks like image recognition and NLP
Apply generative AI techniques including large language models
Evaluate AI systems for ethics, bias, and societal impact

Curriculum Highlights

The 36-unit requirement includes five technical depth courses (two core AI plus three electives), three professional development courses, and a capstone project.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, and AI research labs at companies like OpenAI and NVIDIA.

Admissions

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