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, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and foundational knowledge in algorithms and data structures.

About This Program

This asynchronous online master’s program offers the flexibility for working professionals to earn a high-level degree in AI from a top-tier institution.

Career Outcomes

Excel as AI Engineer in Cross-Industry AI with machine learning expertise

• 1. AI Research Scientist
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. AI Systems Architect

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Develop generative AI systems for content creation and automation
• Apply deep learning techniques to computer vision and natural language processing
• Evaluate ethical implications and biases in AI deployments

Curriculum Highlights

The 30-credit curriculum features core online courses in machine learning, ethics, and data science, tailored for part-time progress.

Top Employers

Top employers include Google, Microsoft, Amazon, NVIDIA, and tech firms like OpenAI and Meta.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and foundational knowledge in algorithms and data structures.

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+)