Applied Machine Learning, Master of Science (M.S.)
| Course | Title | Credits |
|---|---|---|
| Core Requirements | ||
| MSML601 | Probability and Statistics | 3 |
| MSML602 | Principles of Data Science | 3 |
| MSML603 | Principles of Machine Learning | 3 |
| MSML604 | Introduction to Optimization | 3 |
| MSML605 | Computing Systems for Machine Learning | 3 |
| MSML606 | Algorithms and Data Structures for Machine Learning | 3 |
| Elective Requirement (choose four of the following): | 12 | |
| Deep Learning | ||
MSML640 | (Computer Vision) | |
| Natural Language Processing | ||
MSML642 | (Robotics) | |
| Cloud Computing | ||
MSML651 | (Big Data Analytics) | |
| Total Credits | 30 | |