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BA/BS/BSA in CS – ML & AI Concentration

The University of Texas at Austin

Location
Austin, TX
Format
On-Campus
Cost/Year
$96,960
Job Growth
0.36%

This undergraduate concentration equips computer science majors with specialized skills in designing and training intelligent systems and machine learning models.

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

Typical Courses

1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Natural Language Processing (NLP) 4. Computer Vision and Image Analysis 5. AI Algorithm Design and Analysis 6. Data Mining and Predictive Modeling

Career Paths

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

Machine Learning Engineer: $125,000 AI Software Engineer: $130,000 Data Scientist: $115,000 AI Research Engineer: $128,000

Program Details

ScheduleFull-Time
Duration4 years
Specialization 1Natural Language Processing (NLP)
Specialization 2Computer Vision
Top RoleMachine Learning Engineer
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Admission: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.