Typical admitted student: High school diploma or equivalent with a strong background in mathematics and computer science is required. Most programs require a minimum GPA of 3.0 and standardized test scores (SAT/ACT); some may be test-optional.

About This Program

This problem-solving-focused degree blends machine learning algorithms with software engineering principles to develop sophisticated, scalable AI-powered applications.

Career Outcomes

Start Machine Learning Engineer career in Engineering 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 models for real-world applications
Develop deep learning systems using modern frameworks and libraries
Apply AI techniques to solve problems in computer vision, NLP, and robotics
Understand ethical considerations and responsible AI deployment practices

Curriculum Highlights

The curriculum features object-oriented programming, neural networks, machine learning, and the integration of diverse AI tools and frameworks.

Top Employers

Top employers in AI engineering include major technology companies such as Google, Microsoft, Amazon, Tesla, and IBM, as well as specialized AI research firms and defense contractors.

Admissions

High school diploma or equivalent with a strong background in mathematics and computer science is required. Most programs require a minimum GPA of 3.0 and standardized test scores (SAT/ACT); some may be test-optional.

Application Materials

Statement of Purpose: Optional
Letters of Recommendation: 1–2
Resume: Optional
Transcripts: Official transcripts required

Academic Requirements

Degree Required: Bachelor of Science
GRE/GMAT: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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