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 | Data Representation and Modeling (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 (Communication in Data Science and Analytics) | 3 |
DATA698 | Research Methods and Study Design (Research Methods and Study Design) | 3 |
Electives | 6 | |
Total Credits | 30 |