Texas A&M University–Commerce

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 coursework in data structures, algorithms, and mathematics.

About This Program

A graduate program that combines advanced computer science principles with specialized tracks in areas such as software engineering, cybersecurity, and artificial intelligence.

Career Outcomes

Advance as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

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

What You'll Learn

• Design and implement machine learning models for real-world data problems
• Develop AI systems using neural networks and deep learning frameworks
• Apply computer vision and natural language processing techniques
• Optimize algorithms for scalable AI applications and deployment

Curriculum Highlights

Core coursework in algorithm analysis and operating systems is paired with an AI track featuring Python for AI, data visualization, and deep learning.

Top Employers

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

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 coursework in data structures, algorithms, and mathematics.

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+)