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: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or prerequisites in data structures and algorithms may be needed.

About This Program

This 12-credit graduate program is designed for working professionals seeking to gain a competitive edge in artificial intelligence and machine learning.

Career Outcomes

Gain machine learning skills to advance as AI Engineer in Cross-Industry AI

• 1. AI Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist
• 4. AI Research Analyst

What You'll Learn

• Core principles of artificial intelligence algorithms and systems
• Machine learning techniques for predictive modeling and pattern recognition
• Implementation of deep learning models for complex data processing
• Natural language processing for text analysis and generation

Curriculum Highlights

The curriculum features coursework in artificial intelligence foundations, machine learning techniques, and specialized topics like deep learning or AI robotics.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and consulting firms specializing in AI solutions.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or prerequisites in data structures and algorithms may be needed.

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: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)