The University of Texas at Austin

How this program compares

At an estimated $97.0K in total tuition, the BA/BS/BSA in CS – ML & AI Concentration sits about 12% above the $86.6K average for AI bachelor's programs in our database — placing it in the 69th percentile on cost among the 232 we track at this level.

Admission Snapshot

Typical admitted student: High school diploma or GED with strong background in mathematics and science. Most competitive CS programs with AI concentration require a minimum GPA of 3.5, SAT scores of at least 1300 (or ACT equivalent), and demonstrated interest in computer science through coursework or programming experience.

About This Program

This undergraduate concentration equips computer science majors with specialized skills in designing and training intelligent systems and machine learning models. Coursework concentrates on Natural Language Processing (NLP) and Computer Vision. Most students complete it in about 4 years.

Estimated total tuition is $97.0K, above the $86.6K average for AI bachelor's programs in our database and in the 69th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Launch Machine Learning Engineer career in Cross-Industry AI with machine learning focus Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $128,000.

Career Outcomes

Launch Machine Learning Engineer career in Cross-Industry AI with machine learning focus

• 1. Machine Learning Engineer
• 2. AI Software Engineer
• 3. Data Scientist
• 4. Computer Vision Engineer

What You'll Learn

• Design and implement machine learning models using supervised and unsupervised learning techniques
• Develop deep learning architectures including neural networks, convolutional networks, and recurrent networks
• Apply AI and NLP techniques to solve real-world problems in data analysis and prediction
• Understand ethical considerations in AI development, including bias detection, fairness, and responsible AI practices

Curriculum Highlights

The curriculum features a 12-credit-hour focus including foundation courses in AI or data mining, followed by electives in neural networks and robotics.

Top Employers

Top employers include Google, Microsoft, Meta, Amazon, Apple, Tesla, OpenAI, and major tech firms specializing in artificial intelligence and machine learning systems.

Admissions

High school diploma or GED with strong background in mathematics and science. Most competitive CS programs with AI concentration require a minimum GPA of 3.5, SAT scores of at least 1300 (or ACT equivalent), and demonstrated interest in computer science through coursework or programming experience.

Application Materials

• High School Transcripts: Official transcripts required
• Standardized Test Scores: SAT/ACT scores required
• Resume: Optional
• Essays: 1–2 essays demonstrating interest in technology and computer science
• Letters of Recommendation: 2 from academic or technical sources

Academic Requirements

• Degree Required: Bachelor of Science
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)