Typical admitted student: High school diploma or equivalent with a strong GPA (typically 3.5+), SAT/ACT scores (optional at many institutions), and coursework in math, physics, and computer science. Demonstrated programming experience and interest in AI through projects or competitions strengthens applications.

About This Program

This pioneering degree focuses on transforming complex data into actionable decisions through a deep understanding of vision, language, and huge databases.

Career Outcomes

Enter Machine Learning Engineer career in Cross-Industry AI with machine learning focus

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

What You'll Learn

Design and implement machine learning algorithms for predictive modeling.
Develop computer vision systems for image recognition and analysis.
Build natural language processing models for text understanding and generation.
Apply AI techniques to robotics and autonomous systems.

Curriculum Highlights

The curriculum includes computational modeling, symbolic computation, ethics, and core AI courses in perception and machine learning.

Top Employers

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

Admissions

High school diploma or equivalent with a strong GPA (typically 3.5+), SAT/ACT scores (optional at many institutions), and coursework in math, physics, and computer science. Demonstrated programming experience and interest in AI through projects or competitions strengthens applications.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 2–3
Resume: Optional
Transcripts: Official transcripts required

Academic Requirements

Degree Required: High School Diploma
GRE/GMAT: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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