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 quantitative background; GRE is optional.

About This Program

A fully online, interdisciplinary degree that prepares professionals to navigate the technical, ethical, and implementation challenges of artificial intelligence across various industries.

Career Outcomes

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

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

What You'll Learn

Develop and implement machine learning models for real-world applications.
Analyze and mine large datasets using AI techniques.
Understand ethical, policy, and societal impacts of AI systems.
Design AI solutions through capstone projects and advanced electives.

Curriculum Highlights

The program offers specialized tracks in machine learning or management and policy, covering core themes of AI governance, ethics, and interdisciplinary fundamentals.

Top Employers

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

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 quantitative background; GRE is optional.

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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