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 coursework in data structures, algorithms, and linear algebra.

About This Program

This graduate track provides a mathematically rigorous environment for students to conduct research and contribute to the frontiers of artificial intelligence.

Career Outcomes

Position as Machine Learning 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 and pattern recognition.
Develop deep neural networks for applications in computer vision and natural language processing.
Apply reinforcement learning techniques to optimize decision-making systems.
Evaluate AI systems for ethical implications, bias, and fairness.

Curriculum Highlights

The curriculum focuses on core computer science areas with a dedicated track in AI, machine learning, and the development of trustworthy information systems.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at tech firms.

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 coursework in data structures, algorithms, and linear algebra.

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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