Auburn University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, or a related STEM field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework.

About This Program

This program trains students to design and implement high-quality solutions for complex problems in machine learning, natural language processing, computer vision, and robotics.

Career Outcomes

Excel as AI Engineer in Engineering AI with machine learning expertise

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. AI Systems Architect
• 4. Cybersecurity AI Specialist

What You'll Learn

• Design and deploy AI models for engineering applications
• Integrate machine learning into secure software systems
• Apply deep learning techniques to computer vision and robotics
• Develop AI-driven solutions for cybersecurity threats

Curriculum Highlights

The 30-hour curriculum features core courses in AI, machine learning, and data mining, alongside technical electives and an optional capstone engineering project or directed research study.

Top Employers

Top employers include Google, Microsoft, Amazon, and defense contractors like Lockheed Martin and Raytheon.

Admissions

A bachelor's degree in computer science, engineering, or a related STEM field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)