Texas A&M 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: Applicants must hold a bachelor's degree in computer science, engineering, mathematics, or a related field with strong coursework in algorithms and statistics.[1] A bachelor's degree GPA of 3.0 or higher is typically expected, and relevant work or research experience in computing is preferred.

About This Program

This specialization within the MS-ARIN program focuses on the engineering and computational principles required to design the next generation of intelligent systems.

Career Outcomes

Position as AI Engineer in Engineering AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Robotics Engineer
• 4. Computer Vision Specialist

What You'll Learn

• Design and implement machine learning models for complex real-world problems using supervised, unsupervised, and reinforcement learning techniques
• Apply deep learning architectures to specialized domains including computer vision, natural language processing, and robotics
• Conduct independent AI research and develop novel solutions to emerging challenges in artificial intelligence
• Evaluate ethical implications of AI systems and apply principled decision-making frameworks to AI development

Curriculum Highlights

The structure emphasizes core AI and machine learning techniques, complemented by engineering-focused electives and specialized research opportunities.

Top Employers

Top employers for AI graduates include technology leaders like Google, Microsoft, Amazon, Tesla, and IBM, as well as defense contractors and aerospace companies specializing in intelligent systems.

Admissions

Applicants must hold a bachelor's degree in computer science, engineering, mathematics, or a related field with strong coursework in algorithms and statistics.[1] A bachelor's degree GPA of 3.0 or higher is typically expected, and relevant work or research experience in computing is preferred.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Official Transcripts: Required

Academic Requirements

• Degree Required: Master of Science (30+ credit hours)
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)