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 program prepares students for advanced roles in software development and IT operations, emphasizing practical skills and theoretical foundations for leadership in the computing field.

Career Outcomes

Excel as Machine Learning Engineer in Cross-Industry AI with systems expertise

1. Machine Learning Engineer
2. AI Research Scientist
3. Data Scientist
4. Computer Vision Engineer

What You'll Learn

Design and implement machine learning models for predictive analytics
Develop deep neural networks for complex pattern recognition
Apply AI techniques to computer vision and natural language processing tasks
Optimize algorithms for scalable AI systems and real-world applications

Curriculum Highlights

The program offers specialized coursework in artificial intelligence alongside core topics in software and systems, data visualization, and a choice between a research-based thesis or a professional capstone project.

Top Employers

Top employers include Google, Microsoft, Amazon, 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 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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