TX

Master's in AI
Online

Texas A&M University–Commerce | Online MS in Computer Science – Artificial Intelligence

  • Commerce
About This Program

A 30-credit-hour online master’s program designed for students seeking to break into the tech field or advance their careers through specialized AI and machine learning training.

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What You'll Learn

  • Design and implement machine learning models for classification, regression, and clustering tasks

  • Develop deep learning architectures including convolutional and recurrent neural networks
  • Apply natural language processing and computer vision techniques to real-world problems
  • Evaluate AI system performance, optimize algorithms, and address ethical considerations in AI development

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Science in Computer Science with a specialization in Artificial Intelligence is a two-year graduate program focused on machine learning, deep learning, neural networks, and practical AI applications in software systems and data analysis.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. AI Systems Design and Implementation
Program Specializations:
Artificial Intelligence & Machine Learning
AI Engineering / Applied AI
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0. A strong background in programming, linear algebra, and calculus is typically required; GRE scores are generally required for admission consideration.
Academic Requirements (Typical)

• Degree Required: Master of Science (MS)
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

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

Estimated Industry Salary
Artificial Intelligence/Machine Learning Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
0.35%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Systems Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, Meta, IBM, and major financial institutions and tech companies investing heavily in AI and machine learning infrastructure.
Explore AI Career Paths
Program Details
Duration
  • 2.0 Year
Tuition
$ 26,630
Format
Online
Specializations
Artificial Intelligence & Machine Learning
AI Engineering / Applied AI
Official Resources
Program Website
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