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 and coursework in probability, statistics, and data structures.

About This Program

This comprehensive master’s program offers a broad education in computer science with a specialized focus on the modeling and implementation of intelligent algorithms, data structures, and neural networks.

Career Outcomes

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

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

What You'll Learn

Design and implement AI algorithms for real-world applications
Apply deep learning and machine learning models to data problems
Develop natural language processing systems for text and speech analysis
Build computer vision solutions for image recognition and retrieval

Curriculum Highlights

The structure includes three pillars: symbolic AI, subsymbolic AI, and AI systems, with core courses in machine learning, algorithms, and applications, plus a required research seminar.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and research institutions with AI initiatives.

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 and coursework in probability, statistics, and data structures.

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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