Machine Learning Engineering
Science, engineering, and industry are being transformed through the use of artificial intelligence and machine learning techniques and principles. The Master of Science in Machine Learning uses a curriculum based on core machine learning topics, mathematical theory, and signal processing to provide a solid understanding of how machine learning algorithms are designed, implemented, and applied to practical problems. Designed with working professionals in mind, this program gives students the ability to implement machine learning systems using standard programming languages, software frameworks, and systems by learning from experts in the field and cutting edge software and tools. Students are eligible to take part in the optional graduate co-op, which combines classroom coursework with a six-month, full-time work experience.
Degree | Availability | Location |
---|---|---|
MS |
Full-Time |
Philadelphia |
Graduate Co-op Eligible
The MS program is eligible for Graduate Co-op (fall, full-time, on-campus entry only).