Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and foundational coursework in data structures, algorithms, and mathematics.

About This Program

Offered in a flexible online format, this program focuses on building and implementing modern AI systems. It blends theory with hands-on learning for working professionals in tech.

Career Outcomes

Thrive as AI Engineer in Cross-Industry AI with machine learning expertise

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

What You'll Learn

Design and implement machine learning models for predictive analytics and decision-making.
Develop deep learning systems for image recognition and pattern detection.
Apply natural language processing techniques to analyze and generate human language data.
Evaluate ethical implications and biases in AI systems.

Curriculum Highlights

The program requires 34 credit hours, including core AI courses, foundation credits, and electives. Typical course themes include neural networks, big data systems, and a dedicated master's research project.

Top Employers

Top employers include Google, Amazon, Microsoft, and Meta.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and foundational coursework in data structures, algorithms, and mathematics.

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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