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 admission. Strong background in mathematics, computer science, or related subjects is advantageous.

About This Program

A comprehensive undergraduate degree providing a strong foundation in the design and development of intelligent systems, preparing students for careers in tech and research.

Career Outcomes

Begin 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

Fundamental principles of AI algorithms and intelligent systems
Machine learning techniques for pattern recognition and prediction
Design and implementation of neural networks for complex data processing
Application of AI to real-world problems in data analysis and automation

Curriculum Highlights

The 128-credit program features a core of computer science and statistics, specialized AI electives, a two-semester capstone, and courses in neural networks and robotics.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and IBM, as well as government agencies and research institutions.

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores optional but recommended for competitive admission. Strong background in mathematics, computer science, or related subjects is advantageous.

Application Materials

Statement of Purpose: Optional
Letters of Recommendation: Optional
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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