BS in Computer Science – Machine Learning

Carnegie Mellon University

This specialized concentration allows computer science majors to dive deep into the core principles of statistical machine learning and its applications.

What You'll Learn

• Design, implement, and evaluate machine learning models for real-world applications • Apply deep learning techniques and neural network architectures to complex problems • Develop algorithmic solutions for data processing, pattern recognition, and predictive analytics • Translate theoretical machine learning concepts into practical systems that impact industry and society

Typical Courses

1. Machine Learning Algorithms 2. Artificial Intelligence and Search 3. Data Structures and Algorithms 4. Linear Algebra and Multivariable Calculus 5. Probability and Statistics 6. Neural Networks and Deep Learning

Career Paths

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