TX

Master's in AI
On-Campus

The University of Texas at Austin | MS in Computer Science

  • Austin


About This Program

This top-ranked graduate program provides a comprehensive education in computer science, preparing students for high-impact roles in research and industry.

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What You'll Learn
  • Advanced algorithm design and analysis
  • Machine learning models and applications
  • Software systems development and optimization
  • Network protocols and distributed computing
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Computer Science at The University of Texas at Austin is a 2-year full-time graduate program requiring 30 credits, offered both online and on campus.
Typical Course Topics
1. Algorithms Analysis 2. Machine Learning 3. Operating Systems 4. Computer Networks 5. Software Engineering 6. Artificial Intelligence
Program Specializations:
Machine Learning
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree with a minimum GPA of 3.0 (on a 4.0 scale), preferably in computer science or a related field, is required. Strong performance in upper-division CS courses is expected for competitive applicants.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 79+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 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.

Check Application Deadlines
Career Opportunities in AI

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

Estimated Industry Salary
Software Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Software Engineer 2. Data Scientist 3. Machine Learning Engineer 4. Systems Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
$ 35,640
Format
On-Campus
Specializations
Machine Learning
Computer Vision
Official Resources
Program Website
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