Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0 preferred, strong background in mathematics (calculus, linear algebra) and programming. SAT/ACT scores are optional but recommended for competitive admission.

About This Program

This project-oriented bachelor's program provides a rigorous foundation in computer science with a specialized emphasis on intelligent systems and data analysis.

Career Outcomes

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

1. Machine Learning Engineer
2. AI Research Scientist
3. Data Scientist
4. Software Engineer (AI/ML)

What You'll Learn

Design and implement machine learning algorithms for data analysis and prediction.
Build and train neural networks for tasks like image recognition and pattern detection.
Apply AI techniques to solve real-world problems in automation and decision-making.
Evaluate and optimize AI models for accuracy, efficiency, and ethical considerations.

Curriculum Highlights

The curriculum features core courses in software engineering and algorithms, complemented by specialized concentration modules in artificial intelligence and a culminating senior project.

Top Employers

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

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred, strong background in mathematics (calculus, linear algebra) and programming. SAT/ACT scores are optional but recommended for competitive admission.

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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