Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores optional but recommended for competitive applicants. Strong background in mathematics (calculus, statistics) and programming is advantageous.

About This Program

This undergraduate program combines theoretical foundations of AI and machine learning with hands-on practice, preparing students to solve complex problems through a flexible, application-oriented curriculum.

Career Outcomes

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

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

What You'll Learn

Design and implement machine learning algorithms for predictive modeling.
Apply deep learning techniques to image recognition and pattern detection.
Develop AI systems using supervised and unsupervised learning methods.
Analyze large datasets for insights using AI-driven data mining.

Curriculum Highlights

The structure includes core computing requirements, mathematics, and advanced AI/ML courses, culminating in a full-year team capstone project involving real-world applications and multi-term study.

Top Employers

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

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores optional but recommended for competitive applicants. Strong background in mathematics (calculus, statistics) and programming is advantageous.

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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