TX

Master's in AI
Online

Texas A&M Universityโ€“Commerce

Texas A&M Universityโ€“Commerce

  • 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.

Student Reviews
What You'll Learn

Students acquire skills in building intelligent agents, performing data mining, and implementing deep reinforcement learning models within a flexible remote learning environment.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The program includes breadth courses in systems and theory, complemented by specialized electives such as speech processing, robotics, and natural language processing.
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:
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)

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

Application Materials (Typical)

โ€ข Statement of Purpose: Required
โ€ข Letters of Recommendation: 2โ€“3
โ€ข Resume: Required
โ€ข 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.

Career Opportunities in AI

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

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Artificial Intelligence/Machine Learning Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
35.0%
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.
Program Details
Duration
  • 2 Year
Tuition
  • 26,630
Format
Online
Specializations