TX

Master's in AI
Online

The University of Texas at Austin | Online MS in Artificial Intelligence

  • Austin
About This Program

This 100% online master’s degree prepares graduates to lead global innovation by mastering the next generation of artificial intelligence technologies.

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What You'll Learn
  • Design and implement machine learning models using supervised, unsupervised, and reinforcement learning techniques
  • Develop deep neural networks and apply them to real-world problems in computer vision and natural language processing
  • Apply AI algorithms to practical applications while understanding theoretical foundations in mathematics and computer science
  • Evaluate and deploy AI systems responsibly, considering ethical implications and governance frameworks
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Online Master of Science in Artificial Intelligence is a two-year graduate program focused on machine learning theory, deep learning, neural networks, natural language processing, and computer vision applications.[2
Typical Course Topics
1. Machine Learning Theory and Algorithms 2. Deep Learning and Neural Networks 3. Natural Language Processing (NLP) 4. Computer Vision and Image Analysis 5. Data Mining and Probabilistic Methods 6. AI Ethics and Governance
Program Specializations:
Machine Learning
Deep Learning
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 strong foundation in programming and mathematics. GRE scores are required, and a minimum undergraduate GPA of 3.0 is typically expected.
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
• 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.

Check Application Deadlines
Career Opportunities in AI

Position as AI Research Scientist 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
0.36
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
Top employers in AI include Google, Microsoft, Amazon, Meta, OpenAI, IBM, and leading financial and healthcare organizations implementing AI technologies.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
$ 10,000
Format
Online
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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