Data Science and Analytics, Master of Professional Studies (M.P.S.)
Non-thesis only: 30 credits required
| Course | Title | Credits |
|---|---|---|
| DATA601 | Probability and Statistics (Principles of Data Science) | 3 |
| DATA602 | Principles of Data Science (Probability, Statistical Models and Inference ) | 3 |
| DATA603 | Principles of Machine Learning (Mathematical Foundations of Machine Learning) | 3 |
| DATA604 | (Machine Learning and Data Mining ) | 3 |
| DATA605 | Big Data Systems (Big Data Systems) | 3 |
| DATA606 | Algorithms for Data Science (Algorithms for Data Science) | 3 |
| DATA607 | (Communication in Data Science and Analytics) | 3 |
| DATA698 | (Research Methods and Study Design) | 3 |
| DATA699 | (Capstone Research Project) | 3 |
| Elective | 3 | |
| Total Credits | 30 | |