Typical admitted student: Applicants must hold a bachelor's degree in a related field with a minimum GPA of 3.0, along with English proficiency scores such as TOEFL 92, IELTS 7, or Duolingo 125 for international students.

About This Program

A graduate program designed to provide a thorough understanding of modern computing principles and technical skills for careers in artificial intelligence and big data.

Career Outcomes

Lead as AI Research Scientist in Cross-Industry AI with artificial intelligence expertise

1. Software Engineer
2. Data Scientist
3. Machine Learning Engineer
4. Systems Architect

What You'll Learn

Design and analyze advanced algorithms for complex computational problems.
Implement machine learning models for data-driven decision making.
Develop software systems with efficient operating systems and networking principles.
Manage large-scale databases and ensure data integrity.
Apply artificial intelligence techniques to real-world applications.

Curriculum Highlights

The curriculum covers broad topics including artificial intelligence, computer architecture, databases, and human-computer interaction, with pathways for students with or without computer science backgrounds.

Top Employers

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

Admissions

Applicants must hold a bachelor's degree in a related field with a minimum GPA of 3.0, along with English proficiency scores such as TOEFL 92, IELTS 7, or Duolingo 125 for international students.

Application Materials

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

Academic Requirements

Degree Required: Bachelor's degree in related field
GRE/GMAT: Not Required
TOEFL/IELTS: Required for international students (TOEFL 92+ / IELTS 7+)

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