Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores are optional but recommended for competitive applicants. Related high school coursework in math and programming strengthens applications.

About This Program

This STEM-designated program combines mathematics, science, and engineering to prepare students for careers in software development, human-computer interaction, and specialized fields like artificial intelligence.

Career Outcomes

Begin Machine Learning Engineer career in Cross-Industry AI with deep 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 intelligent systems.
Apply deep learning techniques to process and analyze complex data.
Evaluate ethical implications and biases in AI development and deployment.
Build AI applications integrating computer science fundamentals with domain-specific tools.

Curriculum Highlights

The curriculum features a two-part capstone experience, core data structures, and concentration-specific courses in deep learning, applied AI labs, and symbolic programming.

Top Employers

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

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores are optional but recommended for competitive applicants. Related high school coursework in math and programming 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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