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BS in Computer Science – Machine Learning & Artificial Intelligence

The University of Texas at Austin

Location
Austin, TX
Format
On-Campus
Cost/Year
$111,700
Job Growth
0.23%

This degree path provides a deep dive into the technologies driving modern innovation, from autonomous systems to advanced predictive analytics.

What You'll Learn

• Design and implement machine learning models for predictive analytics. • Build and train deep neural networks for complex data processing. • Develop AI systems for natural language understanding and generation. • Apply reinforcement learning techniques to optimization problems.

Typical Courses

1. Introduction to Artificial Intelligence 2. Machine Learning 3. Deep Learning 4. Natural Language Processing 5. Computer Vision 6. Reinforcement Learning

Career Paths

1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. Software Engineer (AI/ML)

Machine Learning Engineer: $120,000

Program Details

ScheduleFull-Time
Duration4 years
Specialization 1Natural Language Processing (NLP)
Specialization 2Computer Vision
Top RoleComputer Vision Engineer
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Admission:High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores are optional but recommended for competitive applicants. Strong background in mathematics (calculus, linear algebra) and programming is highly valued.