Angelo State 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 typically need a bachelor's degree in computer science, mathematics, engineering, or a related field, with a competitive GPA (3.0+) and demonstrated coursework in linear algebra, calculus, and programming. Some programs require the GRE, particularly with a quantitative focus.

About This Program

This 100% online graduate program provides advanced training in AI, preparing students to solve complex real-world problems and drive innovation across diverse industry sectors through flexible learning options.

Career Outcomes

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

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

What You'll Learn

• Design and implement machine learning models for classification, regression, and clustering tasks
• Develop natural language processing applications and large language model systems
• Apply AI techniques to real-world problems in computer vision, robotics, and intelligent systems
• Evaluate AI systems for ethical implications, bias, governance, and responsible deployment

Curriculum Highlights

The curriculum features foundational AI courses and elective tracks, culminating in a choice between a research-focused thesis or a practical, application-oriented capstone project.

Top Employers

Top employers include Google, Microsoft, OpenAI, Meta, Amazon Web Services, and leading technology and financial services firms investing in artificial intelligence development and deployment.

Admissions

Applicants typically need a bachelor's degree in computer science, mathematics, engineering, or a related field, with a competitive GPA (3.0+) and demonstrated coursework in linear algebra, calculus, and programming. Some programs require the GRE, particularly with a quantitative focus.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required
• Portfolio or coding samples: Recommended

Academic Requirements

• Degree Required: Bachelor's degree in STEM or related field
• GRE/GMAT: Required (quantitative section emphasized)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)