Typical admitted student: A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA is required, along with demonstrated programming skills and knowledge of probability and statistics. GRE is required for some applicants.

About This Program

A 30-credit online master’s program designed to provide a strong background in AI foundations and engineering applications like robotics and image processing.

Career Outcomes

Lead as AI Engineer in Engineering AI with deep learning expertise

1. AI Engineer
2. Machine Learning Engineer
3. Data Scientist
4. AI Research Scientist

What You'll Learn

Design and implement machine learning models for real-world applications.
Apply deep learning techniques to computer vision and natural language processing tasks.
Evaluate AI systems for ethics, security, and societal impact.
Solve complex problems using AI integrated with domain-specific knowledge.

Curriculum Highlights

The program offers concentrations in Electrical or Computer Engineering, covering deep learning, big data analytics, pattern recognition, and autonomous systems.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and industry leaders in finance, healthcare, and engineering sectors.

Admissions

A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA is required, along with demonstrated programming skills and knowledge of probability and statistics. GRE is required for some applicants.

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: Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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