Typical admitted student: A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and proficiency in mathematics. GRE scores may be optional or required depending on the program.

About This Program

A graduate-level computer science program that provides intensive study in the principles, algorithms, and applications of machine learning and data science.

Career Outcomes

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

1. Machine Learning Engineer
2. Data Scientist
3. AI Research Scientist
4. NLP Specialist

What You'll Learn

Develop and implement machine learning models for real-world data analysis.
Apply deep learning techniques to image recognition and sequence modeling.
Design algorithms optimized for large-scale computational problems.
Evaluate and deploy AI systems using frameworks like TensorFlow and PyTorch.

Curriculum Highlights

Combines core computer science foundations like databases and algorithms with specialized machine learning electives and a final research project or thesis.

Top Employers

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

Admissions

A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and proficiency in mathematics. GRE scores may be optional or required depending on the program.

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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