Typical admitted student: A bachelor's degree in computer science or related field with a strong GPA (typically 3.0+), relevant coursework in programming and algorithms, and programming experience are required. GRE is optional, and relevant internships or projects strengthen applications.

About This Program

Located in New York City, this program combines rigorous technical training in computer science with an immersive studio curriculum focused on entrepreneurship and product development.

Career Outcomes

Lead as AI Engineer in Engineering AI with cybersecurity expertise

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

What You'll Learn

Design and analyze advanced algorithms for complex computational problems.
Build and deploy machine learning models for data-driven applications.
Develop scalable software systems and distributed computing architectures.
Apply AI techniques to real-world domains like vision and language processing.

Curriculum Highlights

The structure includes 18 credits of technical courses (algorithms, AI, systems) and 8 credits of Studio courses like Product Studio and Startup Studio.

Top Employers

Graduates work at companies like Google, Amazon, Meta, and Microsoft.

Admissions

A bachelor's degree in computer science or related field with a strong GPA (typically 3.0+), relevant coursework in programming and algorithms, and programming experience are required. GRE is optional, and relevant internships or projects strengthen applications.

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+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.

Visit Official Program Page ↗Compare Programs