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

About This Program

This 30-hour research-oriented degree includes a mandatory thesis and is designed for students interested in academic research or doctoral studies.

Career Outcomes

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

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

What You'll Learn

• Design and analyze complex algorithms for efficient computation
• Develop and optimize software systems and applications
• Manage large-scale databases and data processing
• Apply AI and machine learning techniques to real-world problems

Curriculum Highlights

The curriculum requires 24 hours of graduate coursework alongside 6 credits dedicated to original thesis research and writing.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

Admissions

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

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+)