Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages. Prerequisites may include courses in linear algebra, statistics, and probability.

About This Program

This graduate program provides advanced skills in the planning, implementation, and management of AI infrastructures across various industry domains.

Career Outcomes

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

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

What You'll Learn

Design and implement machine learning models for predictive analytics.
Build and train neural networks for complex pattern recognition.
Develop AI systems for natural language understanding and generation.
Apply reinforcement learning to optimization and decision-making problems.

Curriculum Highlights

The structure includes core mathematics and AI algorithms, with specialized clusters in machine learning operations, computer vision, and natural language processing.

Top Employers

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

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages. Prerequisites may include courses in linear algebra, statistics, 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 or Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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