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

About This Program

This master's program offers a specialized path within computer science focused on the development and application of intelligent systems and advanced algorithms.

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 real-world AI applications.
Apply deep learning techniques to process and analyze large datasets.
Develop AI systems incorporating natural language processing and computer vision.
Evaluate ethical implications and societal impacts of AI technologies.

Curriculum Highlights

The curriculum focuses on machine learning, robotics, computer vision, and natural language processing, complemented by core computer science requirements and technical electives.

Top Employers

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

Admissions

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

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 3
Resume: Required
Transcripts: Official transcripts required

Academic Requirements

Degree Required: Bachelor's degree
GRE/GMAT: Optional
TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)

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