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 field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, mathematics, and AI fundamentals.

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

Thrive as Machine Learning Engineer in Engineering AI with machine learning expertise

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

What You'll Learn

• Design and deploy AI models for engineering applications
• Integrate AI with cybersecurity for secure systems
• Optimize machine learning algorithms for real-world problems
• Build intelligent software architectures

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 tech giants like Google, Microsoft, Amazon, and defense contractors such as Lockheed Martin and Raytheon.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, mathematics, and AI fundamentals.

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+)