The University of Texas at Austin

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: 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.

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.

Career Outcomes

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

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

What You'll Learn

• Advanced algorithm design and analysis
• Machine learning models and applications
• Software systems development and optimization
• Network protocols and distributed computing

Curriculum Highlights

The structure includes core coursework in theory and systems, with flexibility to choose electives in specialized areas like machine learning and robotics.

Top Employers

Top employers include Google, Microsoft, Amazon, and Meta.

Admissions

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.

Application Materials

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

Academic Requirements

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