Machine Learning, Master of Professional Studies (M.P.S.)
Non-thesis only: 30 credits required
| Course | Title | Credits |
|---|---|---|
| MSML601 | Probability and Statistics (Probability and Statistics) | 3 |
| MSML602 | Principles of Data Science (Introduction to Optimization) | 3 |
| MSML603 | Principles of Machine Learning (Computing Systems for Machine Learning) | 3 |
| MSML604 | Introduction to Optimization (Algorithms and Data Structures for Machine Learning) | 3 |
| MSML605 | Computing Systems for Machine Learning (Applied Machine Learning) | 3 |
| MSML606 | Algorithms and Data Structures for Machine Learning (Data Science) | 3 |
| Electives | 12 | |
| Total Credits | 30 | |